Publications

[Papers in High-Impact Journals]  [Patents & Inventions] [Academic Journal Covers]

2025

• Xiao, X., Xu, N., Tian, X., Zhang, T., Wang, B., Wang, X., Xian, Y., Lu, C., Ou, X., Yan, Y., Sun, L., You, F.*, Gao, F.* (2025). Aqueous based recycling of perovskite photovoltaics. Nature, accepted
• Tian, X., Stranks, S.D., Huang, J., Fthenakis, V., Yang, Y., & You, F.* (2025). Perspectives for Sustainability Analysis of Scalable Perovskite Photovoltaics. Energy & Environmental Science, DOI:10.1039/D4EE03956D [Cover Art of January 2025 issue of Energy & Environmental Science]
• Wang, Z., & You, F.* (2025). Leveraging generative models with periodicity-aware, invertible, and invariant representations to crystalline materials design. Nature Computational Science
• Dhoriyani, J., Bergman, M.T., Hall, C.K.*, & You, F.* (2025). Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution. PNAS Nexus, DOI: 10.1093/pnasnexus/pgae572
• Ajagekar, A., & You, F.* (2025). Decarbonization of Building Operations with Adaptive Quantum Computing-based Model Predictive Control. Engineering, accepted
• Chen, G., & You, F.* (2025). Future Manufacturing with AI-Driven Particle Vision Analysis in the Microscopic World. Engineering, accepted
• Phuang, Z.X., Sang, K., Wang, X.C.,  You, F., & Woon, K.S. (2025). Sustaining regional infrastructure resiliency with externality for plastic waste circularity via geospatially-enhanced P-graph-life cycle optimization framework. Journal of Cleaner Production, 486, 144413.

2024

• Conchello, R., Ajagekar, A., Bergman, M.T., Hall, C.K.*, & You, F.* (2024). Designing Microplastic-binding Peptides with a Variational Quantum Circuit-based Hybrid Quantum-Classical Approach. Science Advances, 10, eadq8492.
• Decardi-Nelson, B., & You, F.* (2024). Artificial Intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production. Nature Food, 5, 869–881. [Select Media Coverage]
• Lal, A., & You, F.* (2024). Climate Sustainability through a Dynamic Duo: Green Hydrogen and Crypto Driving Energy Transition and Decarbonization. Proceedings of the National Academy of Sciences (PNAS), 121, e2313911121. [Select Media Coverage]
• Balaji, R.K., & You, F.* (2024). Sailing towards sustainability: offshore wind’s green hydrogen potential for decarbonization in coastal USA. Energy & Environmental Science, 17, 6138-6156. [Cover Art of August 2024 issue of Energy & Environmental Science]
• Zhao, X., & You, F.* (2024). Microplastic Human Dietary Uptake from 1990 to 2018 Grew Across 109 Major Developing and Industrialized Countries but Can Be Halved by Plastic Debris Removal. Environmental Science & Technology, 58, 8709–8723. [Cover Art of May 2024 issue of Environmental Science & Technology]
• Tan, T., Genova, G., Heuvelink, G., Lehmann, J., Poggio, L, Woolf, D., & You, F.* (2024). The importance of terrain and climate for predicting soil organic carbon is highly variable across local to continental scales. Environmental Science & Technology, 58, 26, 11492–11503.
• Wang, Z., Liu, S., Tao, K., Chen, A., Duan, H., Han, Y., You, F.,* Liu, G.,*, Li, J.* (2024). Interpretable Surrogate Learning for Electronic Material Generation. ACS Nano, 18, 49, 33587–33601. [Cover Art of December 2024 issue of ACS Nano]
• Yang, Z., Shi, A., Zhang, R., Ji, Z., Li, J., Lyu, J., Qian, J., Chen, T.,*, Wang, X.,* You, F.,*, Xie, J.* (2024). When Metal Nanoclusters Meet Smart Synthesis. ACS Nano, 18, 40, 27138–27166.
• Li, S., & You, F.* (2024). GenAI for Scientific Discovery in Electrochemical Energy Storage: State-of-the-art and Perspectives from Nano- and Micro-Scale. Small, 20, 2406153. [Frontispiece of December 2024 issue of Small]
• Ajagekar, A., & You, F.* (2024). Variational quantum circuit learning-enabled robust optimization for AI data center energy control and decarbonization. Advances in Applied Energy, 14, 100179. 
• Zhang, Q., Liu, Y., Gao, H.O.*, & You, F.* (2024). A Data-Aided Robust Approach for Bottleneck Identification in Power Transmission Grids for Achieving Transportation Electrification Ambition: A Case Study in New York State. Advances in Applied Energy, 14, 100173.
• Yang, S., Gao, H.O.*, & You, F.* (2024). Demand Flexibility and Cost-Saving Potentials via Smart Building Energy Management: Opportunities in Residential Space Heating Across the US. Advances in Applied Energy, 13, 100171.
• Furlan, G., & You, F.* (2024). Robust design of hybrid solar power systems: Sustainable integration of concentrated solar power and photovoltaic technologies. Advances in Applied Energy, 13, 100164.
• Zhao, B., Richardson, R.E., & You, F.* (2024). Microplastics monitoring in freshwater systems: A review of global efforts, knowledge gaps, and research priorities. Journal of Hazardous Materials, 477, 135329.
• Ajagekar, A., & You, F.* (2024). Variational Quantum Circuit Based Demand Response in Buildings Leveraging a Hybrid Quantum-Classical Strategy. Applied Energy, 364, 123244.
• Hu, G., & You, F.* (2024). AI-Enabled Cyber-Physical-Biological Systems for Smart Energy Management and Sustainable Food Production in A Plant Factory. Applied Energy, 356, 122334.
• Ajagekar, A., Decardi-Nelson, B., & You, F.* (2024). Energy management for demand response in networked greenhouses with multi-agent deep reinforcement learning. Applied Energy, 355, 122349.
• Xiao, T., & You, F.* (2024). Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities. Applied Energy, 353, 122133.
• Chen, W., & You, F.* (2024). Sustainable energy management and control for Decarbonization of complex multi-zone buildings with renewable solar and geothermal energies using machine learning, robust optimization, and predictive control. Applied Energy, 372, 123802.
• Tian, X., & You, F.* (2024). Broaden sustainable design and optimization of decarbonized campus Energy systems with scope 3 emissions accounting and social ramification analysis. Applied Energy, 373, 123963.
• Liu, Y. Tayarani, M., You, F.*, & Gao, H.O.* (2024). Bayesian Optimization for Battery Electric Vehicle Charging Station Placement by Agent-based Demand Simulation. Applied Energy, 375, 123975.
• Preuss, N., Alshehri, A.S., & You, F.* (2024). Large Language Models for Life Cycle Assessments: Opportunities, Challenges, and Risks. Journal of Cleaner Production, 466, 142824.
• Chen, W., & You, F.* (2024). Decarbonization through Smart Energy Management: Climate Control in Building-Integrated Rooftop Greenhouses for Urban Agriculture Across Various Climate Conditions. Journal of Cleaner Production, 458, 142544.
• Lal, A., Niaz, H., Liu, J.J.*, & You, F.* (2024). Can bitcoin mining empower energy transition and fuel sustainable development goals in the US? Journal of Cleaner Production, 439, 140799.
• Zhao, X., & You, F.* (2024). From Sustainable Macro Debris Chemical Recycling to Microplastic Reclamation: Overview, Research Challenges, and Outlook. Journal of Cleaner Production, 454, 142281.
• Tao, Y., You, S., Zhu, J., & You, F.* (2024). Energy, climate, and environmental sustainability of trend toward occupational-dependent hybrid work: Overview, research challenges, and outlook. Journal of Cleaner Production, 442, 141083.
• Preuss, N., & You, F.* (2024). Consequential versus attributional life cycle optimization of poultry manure management technologies in a food-energy-water-waste nexus. Journal of Cleaner Production, 469, 143133.
• Jia, R., & You, F.* (2024). Application of Robust Model Predictive Control Using Principal Component Analysis to an Industrial Thickener. IEEE Transactions on Control Systems Technology, 32, 1090-1097.
• Alshehri, A.S., Horstmann, K., & You, F.* (2024). A Versatile Deep Learning Pipeline for Transferable Chemical Data Extraction. Journal of Chemical Information and Modeling, 64, 15, 5888–5899. [Cover Art of August 2024 issue of Journal of Chemical Information and Modeling]
• Zhao, B., Richardson, R.E., & You, F.* (2024). Advancing Microplastic Analysis in the Era of Artificial Intelligence: from Current Applications to the Promise of Generative AI. Nexus, 1, 100043. [Cover Art of December 2024 issue of Nexus]
• Sun, X., & You, F.* (2024). Beyond Wages: The Transformative Role of Strikes in Accelerating Transportation Electrification. Nexus, 1, 100015.
• Li, S., Gao, H.O., & You, F.* (2024). AI for Science in Electrochemical Energy Storage: A Multi-Scale Systems Perspective on Transportation Electrification. Nexus, 1, 100026.
• Balaji, R.K., Preuss, N., & You, F.* (2024). From fertilizer to fuel: Ammonia’s evolution and role in global decarbonization. Nexus, 1, 100040.
• Decardi-Nelson, B., Alshehri, A.S., Ajagekar, A., & You, F.* (2024). Generative AI and Process Systems Engineering: The Next Frontier. Computers & Chemical Engineering, 187, 108723.
• Alhamoud, K., Ghunaim, Y., Alshehri, A.S., Li, G., Ghanem, B.*, & You, F.* (2024). Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks. Computers & Chemical Engineering, 183, 108622.
• Decardi-Nelson, B., Alshehri, A.S., & You, F.* (2024). Generative artificial intelligence in chemical engineering spans multiple scales. Frontiers in Chemical Engineering, 6, 1458156.
• Li, H., Qiu, T., & You, F. (2024). AI-based optimal control of fed-batch biopharmaceutical process leveraging deep reinforcement learning. Chemical Engineering Science, 292, 119990.
• Wang, C., Wang, B., & You, F. (2024). Demand response for residential buildings using Hierarchical Nonlinear Model Predictive Control for Plug-and-Play. Applied Energy, 369, 123581.
• Zhang, Y., Ma, T., Yang, H., Cao, S., & You, F. (2024). Experimental study and techno-enviro-economic analysis of pavement-integrated photovoltaic/thermal applications in different cities considering the ground influence. Energy, 306, 132449.
• Jiang, P., Sonne, C., Li, W., You, F., & You, S. (2024). Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots. Engineering, 40, 202-210.

2023

• Lal, A., & You, F.* (2023). Climate Concerns and the Future of Non-Fungible Tokens: Leveraging Environmental Benefits of the Ethereum Merge. Proceedings of the National Academy of Sciences (PNAS), 120, e2303109120. [Select Media Coverage]
• Tao, Y., Yang, L.*, Jaffe, S., Amini, F., Bergen, P., Hecht, B., & You, F.* (2023). Climate mitigation potentials of teleworking are sensitive to changes in lifestyle and workplace rather than ICT usage. Proceedings of the National Academy of Sciences (PNAS), 120, e2304099120. [Select Media Coverage] [Nature Research Highlight]
• Zhang, C., Zhao, X., Sacchi, R., & You, F.* (2023). Trade-off between critical metal requirement and transportation decarbonization in automotive electrification. Nature Communications, 14, 1616. [Select Media Coverage]
• Liang, H., & You, F.* (2023). Reshoring silicon photovoltaics manufacturing contributes to decarbonization and climate change mitigation. Nature Communications, 14, 1274. [Select Media Coverage]
• Lal, A. & You, F.* (2023). Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets? Science Advances, 9, adg6740. [Select Media Coverage]
• Ajagekar, A., & You, F.* (2023). Molecular Design with Automated Quantum Computing-based Deep Learning and Optimization. npj Computational Materials, 9, 143.
• Tian, X., Roose, B., Stranks, S.D., & You, F.* (2023). Periodic Module Rejuvenation Provides Early Market Entry for Circular All-Perovskite Tandem Photovoltaic Technologies. Energy & Environmental Science, 16, 5551-5567. [Cover Art of December 2023 issue of Energy & Environmental Science]
• Zhao, N., & You, F.* (2023). Growing Metaverse Sector Can Reduce Greenhouse Gas Emissions by 10 Gt CO2e in the United States by 2050. Energy & Environmental Science, 16, 2382-2397. [Cover Art of June 2023 issue of Energy & Environmental Science]
• Zhao, X., & You, F.* (2023). Cascading Polymer Macro-Debris Upcycling and Microparticle Removal As An Effective Life Cycle Plastic Pollution Mitigation Strategy. Environmental Science & Technology, 57, 6506-6519. [Cover Art of April 2023 issue of Environmental Science & Technology]
• Mukherjee, F., Shi, A., Wang, X., You, F.*, & Abbott, N.L.* (2023). Liquid Crystals as Multifunctional Interfaces for Trapping and Characterizing Colloidal Microplastics. Small, 19, 2207802.
• Ajagekar, A., & You, F.* (2023). Deep Reinforcement Learning Based Unit Commitment Scheduling under Load and Wind Power Uncertainty. IEEE Transactions on Sustainable Energy, 14, 803-812.
• Lal, A., & You, F.* (2023). Targeting climate‐neutral hydrogen production: Integrating brown and blue pathways with green hydrogen infrastructure via a novel superstructure and simulation‐based life cycle optimization. AIChE Journal, 69, e17956. [Cover Art of January 2023 issue of AIChE Journal] [CEP Highlight]
• Bang, R.S., Bergman, M., Li, T., Mukherjee, F., Alshehri, A.S., Abbott, N.L., Crook, N.C., Velev, O.D., Hall, C.K., & You, F.* (2023). An integrated chemical engineering approach to understanding microplastics. AIChE Journal, 69, e18020.
• Tao, Y., Zhu, S., Smith, J., Lakhani, N., & You, F.* (2023) Environmental Sustainability of the Globalized Pharmaceutical Supply Chains: The Case of Tenofovir Disoproxil Fumarate. ACS Sustainable Chemistry & Engineering, 11, 17, 6510–6522. [Cover Art of May 2023 issue of ACS Sustainable Chemistry & Engineering]
• Lal, A., Zhu, J., & You, F.* (2023). From Mining to Mitigation: How Bitcoin Can Support Renewable Energy Development and Climate Action. ACS Sustainable Chemistry & Engineering, 11, 16330–16340. [Cover Art of November 2023 issue of ACS Sustainable Chemistry & Engineering]
• Xiao, T., & You, F.* (2023). Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization. Applied Energy, 342, 121165.
• Xie, J., Ajagekar, A., & You, F.* (2023). Multi-Agent attention-based deep reinforcement learning for demand response in grid-responsive buildings. Applied Energy, 342, 121162.
• Hu, G., & You, F.* (2023). An AI framework integrating physics-informed neural network with predictive control for energy-efficient food production in the built environment. Applied Energy, 348, 121450.
• Lal, A., Renaldy, T., Breuning, L., Hamacher, T., & You, F.* (2023). Electrifying light commercial vehicles for last-mile deliveries: Environmental and economic perspectives. Journal of Cleaner Production, 416, 137933.
• Kumdokrub, T., Carson, S., & You, F.* (2023). Cornell University campus metabolism and circular economy using a living laboratory approach to study major resource and material flows. Journal of Cleaner Production, 421, 138469.
• Zhu, S., Preuss, N., & You, F.* (2023). Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy. Journal of Cleaner Production, 422, 138606.
• Jiang, P., Zhang, L., You, S., Fan, Y.V., Tan, R.R., Klemeš, J.J., & You, F. (2023). Blockchain technology applications in waste management: Overview, challenges and opportunities. Journal of Cleaner Production, 421, 138466.
• Zhang, Q., Yan, J.*, Gao, H.O.*, & You, F.* (2023). A Systematic Review on Power Systems Planning and Operations Management with Grid Integration of Transportation Electrification at Scale. Advances in Applied Energy, 9, 100147.
• Yang, S., Gao, H.O.*, & You, F.* (2023). Integrated optimization in operations control and systems design for carbon emission reduction in building electrification with distributed energy resources. Advances in Applied Energy, 12, 100144.
• Hu, G., & You, F.* (2023). Multi-zone building control with thermal comfort constraints under disjunctive uncertainty using data-driven robust model predictive control. Advances in Applied Energy, 9, 100124.
• Zhang, C., Yan, J.*, & You, F.* (2023). Critical metal requirement for clean energy transition: A quantitative review on the case of transportation electrification. Advances in Applied Energy, 9, 100116.
• Yang, S., Gao, H.O.*, & You, F.* (2023). Building electrification and carbon emissions: Integrated energy management considering the dynamics of the electricity mix and pricing. Advances in Applied Energy, 9, 100141.
• Ajagekar, A., Mattson, N.S., & You, F.* (2023). Energy-efficient AI-based Control of Semi-closed Greenhouses Leveraging Robust Optimization in Deep Reinforcement Learning. Advances in Applied Energy, 9, 100119.
• Zhao, N., Zhang, H., Yang, X., Yan, J.*, & You, F.* (2023). Emerging Information and Communication Technologies for Smart Energy Systems and Renewable Transition. Advances in Applied Energy, 9, 100125.
• Huang, W., Zhang, Q., & You, F.* (2023). Impacts of Battery Energy Storage Technologies and Renewable Integration on the Energy Transition in the New York State. Advances in Applied Energy, 9, 100126.
• Zhong, R., Zhu, Y., Wang, X., Li, H., Wang, B., You, F., Rodríguez, L.F., Huang, J., Ting, K.C., Ying, Y., & Lin, T. (2023). Detect and attribute the extreme maize yield losses based on spatio-temporal deep learning. Fundamental Research, 3, 951-959.

2022

• Bernal, D.E., Ajagekar, A., Harwood, S.M., Stober, S.T., Trenev, D., & You, F.* (2022). Perspectives of Quantum Computing for Chemical Engineering, AIChE Journal, 68, e17651. [Cover Art of June 2022 issue of AIChE Journal] [CEP Highlight]
• Alshehri, A.S., Tula, A., You, F.*, & Gani, R.* (2022). Next Generation Pure Component Property Estimation Models: With and Without Machine Learning Techniques. AIChE Journal, 68, e17469.
• Liang, H., Tsuei, M., Abbott, N.A., & You, F.* (2022). AI Framework with Computational Box Counting and Integer Programming Removes Quantization Error in Fractal Dimension Analysis of Optical Images. Chemical Engineering Journal, 446, 137058.
• Alshehri, A.S, & You, F.* (2022). Deep learning to catalyze inverse molecular design. Chemical Engineering Journal, 444, 136669.
• Ajagekar, A., Alhamoud, K., & You, F.* (2022). Hybrid Classical-Quantum Optimization Techniques for Solving Mixed-Integer Programming Problems in Production Scheduling. IEEE Transactions on Quantum Engineering, 3, 3102216.
• Ning, C., & You, F.* (2022). Deep Learning based Distributionally Robust Joint Chance Constrained Economic Dispatch under Wind Power Uncertainty. IEEE Transactions on Power Systems, 37, 191-203.
• Chen, W., & You, F.* (2022). Semi-Closed Greenhouse Climate Control Under Uncertainty via Machine Learning and Data-Driven Robust Model Predictive Control. IEEE Transactions on Control Systems Technology, 30 (3), 1186-1197.
• Niaz, H., Shams, M.H., Liu, J.J., & You, F.* (2022). Mining Bitcoins with Carbon Capture and Renewable Energy for Carbon Neutrality Across States in the USA. Energy & Environmental Science, 15, 3551-3570. [Cover Art of September 2022 issue of Energy & Environmental Science]
• Zhao, X., & You, F.* (2022). Life Cycle Assessment of Microplastics Reveals Their Greater Environmental Hazards than Mismanaged Polymer Waste Losses. Environmental Science & Technology, 56, 16, 11780–11797.
• Chen, W., & You, F.* (2022). Sustainable building climate control with renewable energy sources using nonlinear model predictive control. Renewable & Sustainable Energy Reviews, 168, 112830.
• Ajagekar, A., & You, F.* (2022). Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality. Renewable & Sustainable Energy Reviews, 165, 112493.
• Zhao, N., & You, F.* (2022). Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization. Renewable & Sustainable Energy Reviews, 161, 112428.
• Hu, G., & You, F.* (2022). Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management. Renewable & Sustainable Energy Reviews, 168, 112790.
• Tian, X., Zhou, Y., Morris, B., & You, F.* (2022). Sustainable design of Cornell University campus energy systems toward climate neutrality and 100% renewables. Renewable & Sustainable Energy Reviews, 161, 112383.
• Zhao, X., Klemeš, J.J., & You, F.* (2022). Energy and environmental sustainability of waste personal protective equipment (PPE) treatment under COVID-19. Renewable & Sustainable Energy Reviews, 153, 111786.
• Chen, W., Mattson, N.S., & You, F.* (2022). Intelligent control and energy optimization in controlled environment agriculture via nonlinear model predictive control of semi-closed greenhouse. Applied Energy, 320, 119334.
• Yang, S., Gao, H.O.*, & You, F.* (2022). Model Predictive Control in Phase-Change-Material-Wallboard-Enhanced Building Energy Management Considering Electricity Price Dynamics. Applied Energy, 326, 120023.
• Yang, S., Gao, H.O.*, & You, F.* (2022). Model Predictive Control for Demand- and Market-Responsive Building Energy Management by Leveraging Active Latent Heat Storage. Applied Energy, 327, 120054.
• Zhao, N., & You, F.* (2022). Toward Carbon-Neutral Electric Power Systems in the New York State: a Novel Multi-Scale Bottom-Up Optimization Framework Coupled with Machine Learning for Capacity Planning at Hourly Resolution. ACS Sustainable Chemistry & Engineering, 10, 5, 1805–1821. [Cover Art of February 2022 issue of ACS Sustainable Chemistry & Engineering]
• Sun, L., Kaufman, M.F., Sirk, E.A., Durgaa, S., Mahowald, N.M., & You, F.* (2022). COVID-19 impact on an academic Institution’s greenhouse gas inventory: The case of Cornell University. Journal of Cleaner Production, 363, 132440.
• Niaz, H., Liu, J.J., & You, F.* (2022). Can Texas mitigate wind and solar curtailments by leveraging bitcoin mining? Journal of Cleaner Production, 364, 132700.
• Zhao, X., Klemeš, J.J., Saxon, M., & You, F.* (2022). How sustainable are the biodegradable medical gowns via environmental and social life cycle assessment? Journal of Cleaner Production, 380, 135153.
• Alshehri, A.S., & You, F.* (2022). Machine learning for multiscale modeling in computational molecular design. Current Opinion in Chemical Engineering, 36, 100752.
• Ajagekar, A., & You, F.* (2022). New Frontiers of Quantum Computing in Chemical Engineering. Korean Journal of Chemical Engineering, 39, 811–820.
• Andersson, M.P., Jones, M.N., Mikkelsen, K.V., You, F., & Mansouri, S.S (2022). Quantum computing for chemical and biomolecular product design. Current Opinion in Chemical Engineering, 36, 100754.
• Fan, Y.V., Jiang, P., Tan, R.R., Aviso, K.B., You, F., Zhao, X., Lee, C.T., & Klemeš, J.J. (2022). Forecasting Plastic Waste Generation and Interventions for Environmental Hazard Mitigation. Journal of Hazardous Materials, 424, 127330.
• Chin, H.H., Varbanov, P.S., You, F., Sher, F., & Klemeš, J.J. (2022). Plastic Circular Economy Framework using Hybrid Machine Learning and Pinch Analysis. Resources, Conservation & Recycling, 184, 106387.
• Li, J.H., Kebreab, E., You, F., Fadel, J.G., Hansen, T.L., VanKerkhove, C., & Reed, K.F. (2022). The application of nonlinear programming on ration formulation for dairy cattle. Journal of Dairy Science, 105, 2180–2189.
• Jia, C., Pang, M., Lu, Y., Liu, Y., Zhuang, M., Liu, B., Lu, J., Wei, T., Wang, L., Bian, T., Wang, M., Yu, F., Sun, L., Lin, L., Teng, T., Wu, X., He, Z., Gao, J., Luo, J., Zhang, S., Feng, L., Yin, X., You, F., Li, G., Zhang, L., Zhu, Y., Zhu, X., & Yang, Y. (2022). Graphene environmental footprint greatly reduced when derived from biomass waste via flash Joule heating. One Earth, 5, 1394-1403.

2021

• Tao, Y., Steckel, D., Klemeš, J.J., & You, F.* (2021). Trend towards virtual and hybrid conferences may be an effective climate change mitigation strategy. Nature Communications, 12, 7324. [Select Media Coverage]
• Tian, X., Stranks, S.D., & You, F.* (2021). Life cycle assessment of recycling strategies for perovskite photovoltaic modules. Nature Sustainability, 4, 821–829. [Select Media Coverage]
• Tao, Y., Rahn, C.D., Archer, L.A., & You, F.* (2021). Second life and recycling: Energy and environmental sustainability perspectives for high-performance lithium-ion batteries. Science Advances, 7, eabi7633. [Select Media Coverage]
• Shang, C., & You, F.* (2021). A Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests. IEEE Transactions on Automatic Control, 66, 9, 4015-4028.
• Qiu, H., Gu, W., & You, F.* (2021). Bilayer Distributed Optimization for Robust Microgrid Dispatch With Coupled Individual-Collective Profits. IEEE Transactions on Sustainable Energy, 12 (3), 1525-1538.
• Ajagekar, A., & You, F.* (2021). Quantum Computing based Hybrid Deep Learning for Fault Diagnosis in Electrical Power Systems. Applied Energy, 303, 117628. [Select Media Coverage]
• Ning, C., & You, F.* (2021). Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems. Automatica, 125, 109402.
• Zhao, X., & You, F.* (2021). Consequential Life Cycle Assessment and Optimization of High-Density Polyethylene Plastic Waste Chemical Recycling. ACS Sustainable Chemistry & Engineering, 9, 36, 12167–12184. [Cover Art of September 2021 issue of ACS Sustainable Chemistry & Engineering]
• Tian, X., & You, F.* (2021). Energy and Environmental Sustainability Assessment of Photovoltaics Transition toward Perovskite–Perovskite Tandems from the Attributional and Consequential Perspectives. ACS Sustainable Chemistry & Engineering, 9, 33, 11247–11257. [Cover Art of August 2021 issue of ACS Sustainable Chemistry & Engineering]
• Sun, L., Jin, Y., Shen, J., & You, F.* (2021). Sustainable Residential Micro-Cogeneration System based on Fuel Cell using Dynamic Programming based Economic Day-ahead Scheduling. ACS Sustainable Chemistry & Engineering, 9, 3258–3266. [Cover Art of March 2021 issue of ACS Sustainable Chemistry & Engineering]
• Zhao, X., & You, F.* (2021). Waste High-Density Polyethylene Recycling Process Systems for Mitigating Plastic Pollution through Sustainable Design. AIChE Journal, 67, e17127.
• Jia, R., & You, F.* (2021). Multi-stage economic model predictive control for a gold cyanidation leaching process under uncertainty. AIChE Journal, 67, e17043.
• Alshehri, A.S, & You, F.* (2021). Paradigm Shift: The Promise of Deep Learning in Molecular Systems Engineering and Design. Frontiers in Chemical Engineering, 3, 700717.
• Zhao, N., & You, F.* (2021). Food-energy-water-waste nexus systems optimization for New York State under the COVID-19 pandemic to alleviate health and environmental concerns. Applied Energy, 282, 116181.
• Zhao, X., & You, F.* (2021). Waste Respirator Processing System for Public Health Protection and Climate Change Mitigation under COVID-19 Pandemic: Novel Process Design and Energy, Environmental, and Techno-economic Perspectives. Applied Energy, 282, ​116129.
• Tao, Y., & You, F.* (2021). Can Decontamination and Reuse of N95 Respirators during COVID-19 Pandemic Provide Energy, Environmental, and Economic Benefits? Applied Energy, 304, 117848.
• Zhao, N., & You, F.* (2021). New York State’s 100% renewable electricity transition planning under uncertainty using a data-driven multistage adaptive robust optimization approach with machine-learning. Advances in Applied Energy, 2, 100019.
• Chen, W., & You, F.* (2021). Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation. Journal of Process Control, 107, 103-113.
• Jia, R., Zhang, S., & You, F.* (2021). Nonlinear soft sensor development for industrial thickeners using domain transfer functional-link neural network. Control Engineering Practice, 113, 104853.
• Chen, W., Shang, C., Zhu, S., Haldeman, K., Santiago, M., Stroock, A.D., & You, F.* (2021). Data-driven robust model predictive control framework for stem water potential regulation and irrigation in water management. Control Engineering Practice, 113, 104841.
• Pistikopoulos, E.N., Lee, J.H., Misener, R., Mitsos, A., Reklaitis, G.V., Venkatasubramanian, V., You, F., & Gani, R. (2021). Process Systems Engineering – The Generation Next? Computers & Chemical Engineering, 147, 107252.
• Sun, L., & You, F.* (2021). Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective. Engineering, 7 (9), 1239-1247.
• Leonard, K.C., Hasan, F., Sneddon, H.F., You, F.* (2021). Can Artificial Intelligence and Machine Learning Be Used to Accelerate Sustainable Chemistry and Engineering? ACS Sustainable Chemistry & Engineering, 9, 6126–6129.
• Park, J., You, F., Mun, H., & Lee, I. (2021). Liquefied natural gas supply chain using liquid air as a cold carrier: Novel method for energy recovery. Energy Conversion and Management, 227, 113611.

2020

• Tian, X., Stranks, S.D., & You, F.* (2020). Life-cycle energy use and environmental implications of high-performance perovskite tandem solar cells. Science Advances, 6, eabb0055. [Select Media Coverage]
• Ning, C., & You, F.* (2020). A Transformation-Proximal Bundle Algorithm for Multistage Adaptive Robust Optimization and Application to Constrained Robust Optimal Control. Automatica, 113, 108802.
• Shang, C., Chen, W., Stroock, A.D., & You, F.* (2020). Robust Model Predictive Control of Irrigation Systems with Active Uncertainty Learning and Data Analytics. IEEE Transactions on Control Systems Technology, 28, 1493-1504. [Select Media Coverage]
• Ajagekar, A., & You, F.* (2020). Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems. Computers & Chemical Engineering, 143, 107119. [Select Media Coverage]
• Alshehri, A.S, Gani, R., & You, F.* (2020). Deep Learning and Knowledge-Based Methods for Computer-Aided Molecular Design – Toward a Unified Approach: State-of-the-Art and Future Directions. Computers & Chemical Engineering, 141, 107005.
• Ajagekar, A., Humble, T., & You, F.* (2020). Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems. Computers & Chemical Engineering, 132, 106630.
• Zhao, S., & You, F.* (2020). Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs). AIChE Journal, 66, e16963.
• Tian, X., Meyer, T., Lee, H., & You, F.* (2020). Sustainable Design of Geothermal Energy Systems for Electric Power Generation Using Life Cycle Optimization. AIChE Journal, 66, e16898.
• Lu, S., Lee, J.H., & You, F.* (2020). Soft‐constrained model predictive control based on data‐driven distributionally robust optimization. AIChE Journal, 66, e16546.
• Yancy-Caballero, D., Leperi. K.T., Bucior, B.J., Richardson, R.K., Islamoglu, T., Farha, O.K., You, F.*, & Snurr, R.Q.,* (2020). Process-level modelling and optimization to evaluate metal–organic frameworks for post-combustion capture of CO2. Molecular Systems Design & Engineering, 5, 1205-1218.
• Bora, R.R., Wang, R., & You, F.* (2020). Waste Polypropylene Plastic Recycling toward Climate Change Mitigation and Circular Economy: Energy, Environmental, and Technoeconomic Perspectives. ACS Sustainable Chemistry & Engineering, 8, 16350–16363.
• Zhao, N., Lehmann, J., & You, F.* (2020). Poultry Waste Valorization via Pyrolysis Technologies: Economic and Environmental Life Cycle Optimization for Sustainable Bioenergy Systems. ACS Sustainable Chemistry & Engineering, 8, 4633-4646.
• Bora, R.R., Tao, Y., Lehmann, J., Tester, J.W., Richardson, R.E., & You, F.* (2020). Techno-economic Feasibility and Spatial Analysis of Thermochemical Conversion Pathways for Regional Poultry Waste Valorization. ACS Sustainable Chemistry & Engineering, 8, 5763-5775.
• Tian, X., Richardson, R.E., Tester, J.W., Lozano, J., & You, F.* (2020). Retrofitting Municipal Wastewater Treatment Facilities towards Greener and Circular Economy by Virtue of Resource Recovery: Techno-economic Analysis and Life Cycle Assessment. ACS Sustainable Chemistry & Engineering, 8, 13823–13837.
• Bora, R.R., Lei, M., Tester, J.W., Lehmann, J., & You, F.* (2020). Life Cycle Assessment and Techno-economic Analysis of Thermochemical Conversion Technologies Applied to Poultry Litter with Energy and Nutrient Recovery. ACS Sustainable Chemistry & Engineering, 8, 8436–8447.
• Zhao, N., & You, F.* (2020). Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition? Applied Energy, 279, 115889.
• Yao, J., & You, F.* (2020). Simulation-based optimization framework for economic operations of autonomous electric taxicab considering battery aging. Applied Energy, 279, 115721.
• Nicoletti, J., & You, F.* (2020). Multiobjective economic and environmental optimization of global crude oil purchase and sale planning with noncooperative stakeholders. Applied Energy, 259, 114222.
• Sun, L., Sun, W., & You, F.* (2020). Core temperature modelling and monitoring of lithium-ion battery in the presence of sensor bias. Applied Energy, 271, 115243.
• Qiu, H., & You, F.* (2020). Decentralized-distributed robust electric power scheduling for multi-microgrid systems. Applied Energy, 269, 115146.
• Sun, L., Jin, Y., & You, F.* (2020). Active Disturbance Rejection Temperature Control of Open-Cathode Proton Exchange Membrane Fuel Cell. Applied Energy, 261, 114381.
• Jia, R., Zhang, S., & You, F.* (2020). Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS. Computers & Chemical Engineering, 140, 106943.
• Cobo, S., You, F., Dominguez-Ramos, A., & Irabien, A. (2020). Non-cooperative game theory to ensure the marketability of organic fertilizers within a sustainable circular economy. ACS Sustainable Chemistry & Engineering, 8, 3809-3819.
• Sun, L., Li, G., & You, F.* (2020). Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer. Renewable & Sustainable Energy Reviews, 131, 109994.
• Bora, R.R., Richardson, R.E., & You, F.* (2020). Resource Recovery and Waste-to-Energy from Wastewater Sludge via Thermochemical Conversion Technologies in Support of Circular Economy: A Comprehensive Review. BMC Chemical Engineering, 2, 8.
• Cao, Z., Wu, Q., Zhou, H., Chen, P., & You, F.* (2020). Dynamic modeling, systematic analysis, and operation optimization for Shell entrained-flow heavy residue gasifier. Energy, 197, ​117220.
• Park, J., You, F., Cho, H., Lee, I., & Moon, I. (2020). Novel Massive Thermal Energy Storage System for Liquefied Natural Gas Cold Energy Recovery. Energy, 195, 117022.

2019

• Yue, D., Gao, J., Zeng, B., & You, F.* (2019). A projection-based reformulation and decomposition algorithm for global optimization of a class of mixed integer bilevel linear programs. Journal of Global Optimization, 73, 27-57.
• Ning, C., & You, F.* (2019). Data-Driven Adaptive Robust Unit Commitment under Wind Power Uncertainty: A Bayesian Nonparametric Approach. IEEE Transactions on Power Systems, 34, 2409-2418.
• Shang, C., & You, F.* (2019). A Data-Driven Robust Optimization Approach to Scenario-Based Stochastic Model Predictive Control. Journal of Process Control, 75, 24-39. [Select Media Coverage]
• Leperi. K.T., Yancy-Caballero, D., Snurr, R.Q.,* & You, F.* (2019). Surrogate Models Based on Artificial Neural Networks to Simulate and Optimize Pressure Swing Adsorption Cycles for CO2 capture. Industrial & Engineering Chemistry Research, 58, 18241-18252.
• Ning, C., & You, F.* (2019). Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming. Computers & Chemical Engineering, 125, 434-448.
• Ajagekar, A., & You, F.* (2019). Quantum computing for energy systems optimization: Challenges and opportunities. Energy, 179, 76-89.
• Zhao, N., & You, F.* (2019). Dairy Waste-to-Energy Incentive Design using Stackelberg-Game-Based Modeling and Optimization. Applied Energy, 254, 113701.
• Leperi, K., Chung, Y.G., You, F.* & Snurr, R.Q.* (2019). Development of a general evaluation metric for rapid screening of adsorbent materials for post-combustion CO2 capture. ACS Sustainable Chemistry & Engineering, 7, 11529-11539.
• Thomassen, G., Van Dael, M., Van Passel, S., & You, F.* (2019). How to assess the potential of emerging green technologies? Towards a prospective environmental and techno-economic assessment framework. Green Chemistry, 21, 4868-4886.
• Ning, C., & You, F.* (2019). Data-driven Wasserstein distributionally robust optimization for biomass with agricultural waste-to-energy network design under uncertainty. Applied Energy, 255, 113857.
• Guillen-Gosalbez, G.*, You, F.*, Galan-Martin, A., Pozo, C., Grossmann, I.E. (2019) Process Systems Engineering thinking and tools applied to sustainability problems: Current landscape and future opportunities. Current Opinion in Chemical Engineering, 26, 170-179.
• Zhao, S., & You, F.* (2019). Resilient Supply Chain Design and Operations with Decision-Dependent Uncertainty using Data-Driven Robust Optimization. AIChE Journal, 3, 1006-1021.
• Nicoletti, J., Ning, C., & You, F.* (2019). Incorporating Agricultural Waste-to-Energy Pathways into Biomass Product and Process Network through Data-Driven Nonlinear Adaptive Robust Optimization. Energy, 180, 556-571.
• Gao, J., Ning, C., & You, F.* (2019). Data-Driven Distributionally Robust Optimization for Shale Gas Supply Chain Design and Operations under Uncertainty. AIChE Journal, 3, 947-963.
• Lee, I., Tester, J.W., & You, F.* (2019). Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges. Renewable & Sustainable Energy Reviews, 109, 551-577.
• Tian, X., & You, F.* (2019). Carbon-neutral hybrid energy systems with deep water source cooling, biomass heating, and geothermal heat and power. Applied Energy, 250, 413-432.
• Liao, Z., Hu, Y., Wang, J., Yang, Y., & You, F.* (2019). Systematic design and optimization of membrane-cryogenic hybrid system for CO2 capture. ACS Sustainable Chemistry & Engineering, 7, 17186-17197.
• Thomassen, G., Van Dael, M., You, F., & Van Passel, S. (2019). A multi-objective optimization-extended environmental techno-economic assessment: Exploring the optimal microalgal-based value chain. Green Chemistry, 21, 5945-5959.
• Zhao, L., & You, F.* (2019). A data-driven approach for industrial utility systems optimization under uncertainty. Energy, 182, 559-569.
• Garcia, D.J., Lovett, B.M., & You, F.* (2019). Considering agricultural wastes and ecosystem services in Food-Energy-Water-Waste Nexus system design. Journal of Cleaner Production, 228, 941-955.
• Zhao, S., & You, F.* (2019). Comparative Life Cycle Assessment of Li-ion Batteries through Process-based and Integrated Hybrid Approaches. ACS Sustainable Chemistry & Engineering, 7, 5082–5094.
• Gao, J., & You, F.* (2019). A Stochastic Game Theoretic Framework for Decentralized Optimization of Multi-Stakeholder Supply Chains under Uncertainty. Computers & Chemical Engineering, 122, 31-46.
• Lee, I., & You, F.* (2019). Systems design and analysis of liquid air energy storage from liquefied natural gas cold energy. Applied Energy, 242, 168-180.
• Zhao, L., Ning, C., & You, F.* (2019). Operational Optimization of Industrial Steam Systems under Uncertainty Using Data-Driven Adaptive Robust Optimization. AIChE Journal, 65, e16500.
• Shang, C., & You, F.* (2019). Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era. Engineering, 5, 1010-1016.
• Lee, I., Park, J., You, F.*, & Moon, I. (2019). A novel cryogenic energy storage system with LNG direct expansion regasification: Design, energy optimization, and exergy analysis. Energy, 173, 691-705.
• Ma, J., & You, F.* (2019). Superstructure Optimization of Thermal Conversion Based Poultry litter Valorization Process. Journal of Cleaner Production, 228, 1111-1121.
• Park, J., Lee, I., You, F.*, & Moon, I.* (2019). Economic process selection of LNG regasification: power generation and energy storage applications. Industrial & Engineering Chemistry Research, 58, 4946–4956.
• Garcia, D.J., Mozaffar, M., Ren, H., Correa, J.E., Ehmann, K., Cao, J., & You, F. (2019). Repairing Automotive Dies with Directed Energy Deposition: Industrial Application and Life Cycle Analysis. Journal of Manufacturing Science and Engineering, 141, 021019.
• Bennett, J.L., Garcia, D.J., Kendrick, M., Hartman, T., Hyatt, G., Ehmann, K., You, F., & Cao, J.; (2019). Sustainable Manufacturing with Cyber-physical Manufacturing Networks: Overview and Modeling Framework. Journal of Manufacturing Science and Engineering, 141, 021013.

2018

• Masnadi, M.S., El-Houjeiri, H.M., Schunack, D., Li, Y., Englander, J.G., Badahdah, A., Monfort, J.-C., Anderson, J.E., Wallington, T.J., Bergerson, J.A., Gordon, D., Koomey, J., Przesmitzki, S., Azevedo, I.L., Bi, X.T., Duffy, J.E., Heath, G.A., Keoleian, G.A., McGlade, C., Meehan, D.N., Yeh, S., You, F., Wang, M.Q., Brandt, A.R. (2018). Global carbon intensity of crude oil production. Science, 361, 851-853. [Select Media Coverage]
• Gao, J., & You, F.* (2018). Dynamic Material Flow Analysis-Based Life Cycle Optimization Framework and Application to Sustainable Design of Shale Gas Energy Systems. ACS Sustainable Chemistry & Engineering, 6, 11734–11752.
• Gong, J., & You, F.* (2018). Resilient Design and Operations of Process Systems: Nonlinear Adaptive Robust Optimization Model and Algorithm for Resilience Analysis and Enhancement. Computers & Chemical Engineering, 116, 231-252.
• Gao, J., & You, F.* (2018). Integrated Hybrid Life Cycle Assessment and Optimization of Shale Gas. ACS Sustainable Chemistry & Engineering, 6, 1803–1824. [Cover Art of June 2018 issue of ACS Sustainable Chemistry & Engineering]
• Ning, C., & You, F.* (2018). Data-Driven Stochastic Robust Optimization: General Computational Framework and Algorithm Leveraging Machine Learning for Optimization under Uncertainty in the Big Data Era. Computers & Chemical Engineering, 111, 115-133.
• Yang, M., Tian, X., & You, F.* (2018). Manufacturing Ethylene from Wet Shale Gas and Biomass: Comparative Techno-economic Analysis and Environmental Life Cycle Assessment. Industrial & Engineering Chemistry Research, 57, 5980–5998. [Cover Art of May 2018 issue of Industrial & Engineering Chemistry Research]
• Liang, Y., Hui, C.W., & You, F.* (2018). Multi-Objective Economic-Resource-Production Optimization of Sustainable Organic Mixed Farming Systems with Nutrient Recycling. Journal of Cleaner Production, 196, 304-330.
• Yang, M., & You, F.* (2018). Modular Methanol Manufacturing from Shale Gas: Techno-economic and Environmental Analyses of Conventional Large-scale Production versus Small-scale Distributed, Modular Processing. AIChE Journal, 2, 495–510.
• Ning, C. & You, F.* (2018). Data-Driven Decision Making under Uncertainty Integrating Robust Optimization with Principal Component Analysis and Kernel Smoothing Methods. Computers & Chemical Engineering, 112, 190–210.
• Gong, J., & You, F.* (2018). A New Superstructure Optimization Paradigm for Process Synthesis with Product Distribution Optimization: Application to An Integrated Shale Gas Processing and Chemical Manufacturing Process. AIChE Journal, 64, 123–143.
• Shang, C., & You, F.* (2018). Distributionally Robust Optimization for Planning and Scheduling under Uncertainty. Computers & Chemical Engineering, 110, 53–68.
• Garcia, D.J., & You, F.* (2018). Addressing Global Environmental Impacts Including Land Use Change in Life Cycle Optimization: Studies on Biofuels. Journal of Cleaner Production, 182, 313–330.
• Zhou, H., Xie, T., & You, F.* (2018).On-line Simulation and Optimization of A Commercial-Scale Shell Entrained-flow Gasifier Using a Novel Dynamic Reduced Order Model. Energy, 149, 516–534.
• Tang, Y., & You, F.* (2018). Multi-criteria Environmental and Economic Analysis of Municipal Solid Waste Incineration Power Plant with Carbon Capture and Separation from the Life Cycle Perspective. ACS Sustainable Chemistry & Engineering, 6, 937–956.
• Ning, C., & You, F.* (2018). Adaptive Robust Optimization with Minimax Regret Criterion: Multiobjective Optimization Framework and Computational Algorithm for Planning and Scheduling under Uncertainty. Computers & Chemical Engineering, 108, 425-447.
• Cao, Z., Tao, L., Zhang, Q., Zhou, H.*, Song, C., & You, F.* (2018). Systems Modeling, Simulation and Analysis for Robust Operations and Improved Design of Entrained-flow Pulverized Coal Gasifiers. Energy, 148, 941-964.
• Tang, Y, & You, F.* (2018). Life Cycle Environmental and Economic Analysis of Pulverized Coal Oxy-fuel Combustion Combining with Calcium Looping Process or Chemical Looping Air Separation. Journal of Cleaner Production, 181, 271-292.
• Zhou, H., Cai, Y., & You, F.* (2018). Systems Design, Modeling, and Thermo-Economic Analysis of Azeotropic Distillation Processes for Organic Waste Treatment and Recovery in Nylon Plants. Industrial & Engineering Chemistry Research, 57, 9994–10010.
• He, C., Pan, M., Zhang, B., Chen, Q., You, F. & Ren, J. (2018). Monetizing Shale Gas to Polymers under Mixed Uncertainty: Stochastic Modeling and Likelihood Analysis. AIChE Journal, 64, 2017-2036.
• López-DíazLuis, D.C., Lira-Barragán, F., Rubio-Castro, E., You, F., & Ponce-Ortega, J.M. (2018). Optimal design of water networks for shale gas hydraulic fracturing including economic and environmental criteria. Clean Technologies and Environmental Policy, 20, 2311–2332.

2017

• Ning, C., & You, F.* (2017). Data-Driven Adaptive Nested Robust Optimization: General Modeling Framework and Efficient Computational Algorithm for Decision Making under Uncertainty. AIChE Journal, 63, 3790–3817.
• Shang, C., Huang, X., & You, F.* (2017). Data-Driven Robust Optimization Based on Kernel Learning. Computers & Chemical Engineering, 106, 464–479.
• Ning, C., & You, F.* (2017). A Data-Driven Multistage Adaptive Robust Optimization Framework for Planning and Scheduling under Uncertainty. AIChE Journal, 63, 4343–4369.
• Gao, J., & You, F.* (2017). Can Modular Manufacturing Be the Next Game-Changer in Shale Gas Supply Chain Design and Operations for Economic and Environmental Sustainability? ACS Sustainable Chemistry & Engineering, 5, 10046–10071.
• Gao, J., & You, F.* (2017). Modeling Framework and Computational Algorithm for Hedging Against Uncertainty in Sustainable Supply Chain Design using Functional-Unit-Based Life Cycle Optimization. Computers & Chemical Engineering, 107, 221-236.
• Gao, J., & You, F.* (2017). Design and Optimization of Shale Gas Energy Systems: Overview, Research Challenges, and Future Directions. Computers & Chemical Engineering, 106, 699-718.
• Gong, J., & You, F.* (2017). Consequential Life Cycle Optimization: General Conceptual Framework and Application to Algal Renewable Diesel Production. ACS Sustainable Chemistry & Engineering, 5, 5887–5911.
• Garcia, D.J., & You, F.* (2017). Systems engineering opportunities for agricultural and organic waste management in the food–water–energy nexus. Current Opinion in Chemical Engineering, 18, 23–31.
• Gong, J., Yang, M., & You, F.* (2017). A Systematic Simulation-based Process Intensification Method for Shale Gas Processing and NGLs Recovery Process Systems under Uncertain Feedstock Compositions. Computers & Chemical Engineering, 105, 259-275.
• Chung, Y.G., Bai, P., Haranczyk, M., Leperi, K., Li, P., Zhang, H., Wang, T.C., Duerinck, T., You, F., Hupp, J.T., Farha, O.K., Siepmann, I. & Snurr, R.Q. (2017). Computational Screening of Nanoporous Materials for Hexane and Heptane Isomer Separation. Chemistry of Materials, 29, 6315–6328.
• Gao, J., & You, F.* (2017). Game Theory Approach to Optimal Design of Shale Gas Supply Chains with Consideration of Economics and Life Cycle Greenhouse Gas Emissions. AIChE Journal, 63, 2671–2693.
• Yang, M., & You, F.* (2017). Comparative Techno-economic and Environmental Analysis of Ethylene and Propylene Manufacturing from Wet Shale Gas and Naphtha. Industrial & Engineering Chemistry Research, 56, 4038–4051. [Cover Art of May 2017 issue of Industrial & Engineering Chemistry Research]
• Sánchez-Bautista, A.F., Santibañez-Aguilar, J.E., You, F., & Ponce-Ortega, J.M. (2017). Optimal Design of Energy Systems Involving Pollution Trading through Forest Plantations. ACS Sustainable Chemistry & Engineering, 5, 2585–2604. [Cover Art of March 2017 issue of ACS Sustainable Chemistry & Engineering]
• Gao, J., & You, F.* (2017). Economic and Environmental Life Cycle Optimization of Noncooperative Supply Chains and Product Systems: Modeling Framework, Mixed-Integer Bilevel Fractional Programming Algorithm, and Shale Gas Application. ACS Sustainable Chemistry & Engineering, 5, 3362–3381.
• Gong, J., & You, F.* (2017). Optimal processing network design under uncertainty for producing fuels and value-added bioproducts from microalgae: Two-stage adaptive robust mixed integer fractional programming model and computationally efficient solution algorithm. AIChE Journal, 63, 582–600.
• Yue, D., & You, F.* (2017). Stackelberg-Game-Based Modeling and Optimization for Supply Chain Design and Operations: A Mixed Integer Bilevel Programming Framework. Computers & Chemical Engineering, 102, 81–95.

2016

• Chung, Y.G., Gómez-Gualdrón, D.A., Li, P., Leperi, K., Deria, P., Zhang, H., Vermeulen, N.A., Stoddart, J.F., You, F., Hupp, J.T., Farha, O.K., & Snurr, R.Q. (2016). In silico discovery of metal-organic frameworks for pre-combustion CO2 capture using a genetic algorithm. Science Advances, 2, e1600909.
• Gong, J., Garcia, D.J., & You, F.* (2016). Unraveling Optimal Biomass Processing Routes from Bioconversion Product and Process Networks under Uncertainty: An Adaptive Robust Optimization Approach. ACS Sustainable Chemistry & Engineering, 4, 3160–3173. [Cover Art of June 2016 issue of ACS Sustainable Chemistry & Engineering]
• Shi, H., & You, F.* (2016). Energy Optimization of Water Supply System Scheduling: Novel MINLP Model and Efficient Global Optimization Algorithm. AIChE Journal, 62, 4277–4296.
• Yue, D., & You, F.* (2016). Optimal supply chain design and operations under multi-scale uncertainties: Nested stochastic robust optimization modeling framework and solution algorithm. AIChE Journal, 62, 3041–3055.
• Garcia, D.J., & You, F.* (2016). The Water-Energy-Food Nexus and Process Systems Engineering: A New Focus. Computers & Chemical Engineering, 91, 49–67.
• He, C., & You, F.* (2016). Deciphering the true life cycle environmental impacts and costs of the mega-scale shale gas-to-olefins projects in the United States. Energy & Environmental Science, 9, 820-840.
• Yue, D., Pandya, S., & You, F.* (2016). Integrating Hybrid Life Cycle Assessment with Multiobjective Optimization: A Modeling Framework. Environmental Science & Technology, 50, 1501–1509.
• Shi, H., & You, F.* (2016). A computational framework and solution algorithms for two-stage adaptive robust scheduling of batch manufacturing processes under uncertainty. AIChE Journal, 62, 687–703.
• Ye, W., & You, F.* (2016). A Computationally Efficient Simulation-based Optimization Method with Region-wise Surrogate Modeling for Stochastic Inventory Management of Supply Chains with General Network Structures. Computers & Chemical Engineering, 87, 164–179.
• Leperi, K., Snurr, R.Q. & You, F.* (2016). Optimization of Two-Stage Pressure/Vacuum Swing Adsorption with Variable Dehydration Level for Post-Combustion Carbon Capture. Industrial & Engineering Chemistry Research, 55, 3338–3350.
• Yue, C, You, F., & Huang, Y. (2016). Thermal and economic analysis of an energy system of an ORC coupled with vehicle air conditioning. International Journal of Refrigeration, 64, 152–167.

2015

• Gong, J., & You, F.* (2015). Sustainable Design and Synthesis of Energy Systems. Current Opinion in Chemical Engineering, 10, 77-86.
• Chu, Y., & You, F.* (2015). Model-based integration of control and operations: Overview, challenges, advances, and opportunities. Computers & Chemical Engineering, 83, 2-20.
• Garcia, D.J., & You, F.* (2015). Supply Chain Design and Optimization: Challenges and Opportunities. Computers & Chemical Engineering, 81, 153-170.
• Gao, J., & You, F.* (2015). Deciphering and handling uncertainty in shale gas supply chain design and optimization: Novel modeling framework and computationally efficient solution algorithm. AIChE Journal, 61, 3739-3755.
• Shi, H., & You, F.* (2015). A Novel Adaptive Surrogate Modeling based Algorithm for Simultaneous Optimization of Sequential Batch Process Scheduling and Dynamic Operations. AIChE Journal, 61, 4191-4209.
• Gao, J., & You, F.* (2015). Shale Gas Supply Chain Design and Operations towards Better Economic and Life Cycle Environmental Performance: MINLP Model and Global Optimization Algorithm. ACS Sustainable Chemistry & Engineering, 3, 1282-1291.
• Gong, J., Darling, S.B., & You, F.* (2015). Perovskite Photovoltaics: Life-Cycle Assessment of Energy and Environmental Impacts. Energy & Environmental Science, 8, 1953-1968. [Cover Art of July 2015 issue of Energy & Environmental Science] [Select Media Coverage]
• Yue, D., Gong, J., & You, F.* (2015). Synergies between Geological Sequestration and Microalgae Biofixation for Greenhouse Gas Abatement: Life Cycle Design of Carbon Capture, Utilization, and Storage Supply Chains. ACS Sustainable Chemistry & Engineering, 3, 841-861.
• Garcia, D.J., & You, F.* (2015). Network-based Life Cycle Optimization of the Net Atmospheric CO2-eq Ratio (NACR) of Fuels and Chemicals Production from Biomass. ACS Sustainable Chemistry & Engineering, 3, 1732-1744.
• Gao, J., & You, F.* (2015). Optimal Design and Operations of Supply Chain Networks for Water Management in Shale Gas Production: MILFP Model and Algorithms for the Water-Energy Nexus. AIChE Journal, 61, 1184-1208.
• Gong, J., & You, F.* (2015). Value-Added Chemicals from Microalgae: Greener, More Economical, or Both? ACS Sustainable Chemistry & Engineering, 3, 82-96.
• He, C., & You, F.* (2015). Towards More Cost-Effective and Greener Chemicals Production from Shale Gas by Integrating with Bioethanol Dehydration: Novel Process Design and simulation-based Optimization. AIChE Journal, 61, 1209-1232.
• Chu, Y., You, F.*, Wassick, J.M., & Agarwal, A. (2015). Simulation-based optimization framework for multi-echelon inventory systems under uncertainty. Computers & Chemical Engineering, 73, 1-16.
• Garcia, D.J., & You, F.* (2015). Life Cycle Network Modeling Framework and Solution Algorithms for Systems Analysis and Optimization of the Water-Energy Nexus. Processes, 3, 514-539
• Shi, H., Chu, Y., & You, F.* (2015). Novel Optimization Model and Efficient Solution Method for Integrating Dynamic Optimization with Process Operations of Continuous Manufacturing Processes. Industrial & Engineering Chemistry Research, 54, 2167-2187.
• Chu, Y., You, F.*, Wassick, J.M., & Agarwal, A. (2015). Integrated planning and scheduling under production uncertainties: Bi-level model formulation and hybrid solution method. Computers & Chemical Engineering, 72, 255-272.
• Garcia, D.J., & You, F.* (2015). Multiobjective optimization of product and process networks: General modeling framework, efficient global optimization algorithm, and case studies on bioconversion. AIChE Journal, 61, 530-554.

2014

• Yue, D., You, F.*, & Snyder, S.W. (2014). Biomass-to-Bioenergy and Biofuel Supply Chain Optimization: Overview, Key Issues and Challenges. Computers & Chemical Engineering, 66, 36-56.
• Gong, J., & You, F.* (2014). Global Optimization for Sustainable Design and Synthesis of Algae Processing Network for CO₂ Mitigation and Biofuel Production using Life Cycle Optimization. AIChE Journal, 60, 3195-3210.
• Yue, D., & You, F.* (2014). Fair Profit Allocation in Supply Chain Optimization with Transfer Price and Revenue Sharing: MINLP Model and Algorithm for Cellulosic Biofuel Supply Chains. AIChE Journal, 60, 3211-3229.
• He, C., & You, F.* (2014). Shale gas processing integrating with ethylene production: Novel process designs, exergy analysis, and techno-economic analysis. Industrial & Engineering Chemistry Research, 53, 11442-11459.
• Yue, D., & You, F.* (2014). Game-Theoretic Modeling and Optimization of Multi-echelon Supply Chain Design and Operation under Stackelberg Game and Market Equilibrium. Computers & Chemical Engineering, 71, 347-361.
• Chu, Y., & You, F.* (2014). Moving horizon approach of integrating scheduling and control for sequential batch processes. AIChE Journal, 60, 1654-1671.
• Zhong, Z., & You, F.* (2014). Globally Convergent Exact and Inexact Parametric Algorithms for Solving Large-Scale Mixed-Integer Fractional Programs and Applications in Process Systems Engineering. Computers & Chemical Engineering, 61, 90-101.
• Gong, J., & You, F.* (2014). Optimal design and synthesis of algal biorefinery processes for biological carbon sequestration and utilization with zero direct greenhouse gas emissions: MINLP model and global optimization algorithm. Industrial & Engineering Chemistry Research, 53, 1563-1579.
• Chu, Y., & You, F.* (2014). Integrated planning, scheduling, and dynamic optimization for batch processes: MINLP model formulation and efficient solution methods via surrogate modeling. Industrial & Engineering Chemistry Research, 53, 13391-13411.
• Yue, D., You, F.*, & Darling, S.B. (2014). Domestic and Overseas Manufacturing Scenarios of Silicon-Based Photovoltaics: Life Cycle Energy and Environmental Comparative Analysis. Solar Energy, 105, 669-678. [Featured in Nature, (2014) 510: 317]
• Chu, Y., & You, F.* (2014). Integrated scheduling and dynamic optimization by Stackelberg game: Bi-level model formulation and efficient solution algorithm. Industrial & Engineering Chemistry Research, 53, 5564-5581.
• Yue, D., Slivinsky, M., Sumpter, J., & You, F.* (2014). Sustainable design and operation of cellulosic bio-electricity supply chain networks with life cycle economic, environmental and social optimization. Industrial & Engineering Chemistry Research, 53, 4008-4029.
• Chu, Y., You, F.*, & Wassick, J.M. (2014). Hybrid method integrating agent-based modeling and heuristic tree search for scheduling of complex batch processes. Computers & Chemical Engineering, 60, 277-296.
• Tong, K., Gong, J., Yue, D., & You, F.* (2014). Stochastic Programming Approach to Optimal Design and Operations of Integrated Hydrocarbon Biofuel and Petroleum Supply Chains. ACS Sustainable Chemistry & Engineering, 2, 49-61.
• Zhang, Q., Gong, J., Skwarczek, M., Yue, D., & You, F.* (2014). Sustainable Process Design and Synthesis of Hydrocarbon Biorefinery through Fast Pyrolysis and Hydroprocessing. AIChE Journal, 60, 980-994.
• Tong, K., Gleeson, M.J., Rong, G., & You, F.* (2014). Optimal design of advanced ‘drop-in’ hydrocarbon biofuel supply chain integrating with existing petroleum refineries under uncertainty. Biomass & Bioenergy, 60, 108-120.
• Wu, D., Yue, D., You, F., & Broadbelt, L.J. (2014). Computational Evaluation of Factors Governing Catalytic 2-Keto Acid Decarboxylation. Journal of Molecular Modeling, 20, 2310.
• He, C., You, F., & Feng, X. (2014). A novel hybrid feedstock to liquids and electricity process: Process modeling and exergoeconomic life cycle optimization. AIChE Journal, 60, 3739-3753.
• Singh, A., Chu, Y., & You, F.* (2014). Biorefinery Supply Chain Network Design under Competitive Feedstock Markets: An Agent-Based Simulation and Optimization Approach. Industrial & Engineering Chemistry Research, 53, 15111-15126.
• Tong, K., You, F.*, & Rong, G. (2014). Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective. Computers & Chemical Engineering, 68, 128-139.

2013

• Chu, Y., & You, F.* (2013). Integration of Scheduling and Dynamic Optimization of Batch Processes under Uncertainty: Two-stage Stochastic Programming Approach and Enhanced Generalized Benders Decomposition Algorithm. Industrial & Engineering Chemistry Research, 52, 16851-16869.
• Yue, D., Kim, M.A., & You, F.* (2013). Design of Sustainable Product Systems and Supply Chains with Life Cycle Optimization Based on Functional Unit: General Modeling Framework, Mixed-Integer Nonlinear Programming Algorithms and Case Study on Hydrocarbon Biofuels. ACS Sustainable Chemistry & Engineering, 1, 1003-1014.
• Darling, S.B., & You, F. (2013). The case for organic photovoltaics. RSC Advances, 3, 17633-17648.
• Gebreslassie, B.H., Waymire, R., & You, F.* (2013). Sustainable Design and Synthesis of Algae-Based Biorefinery for Simultaneous Hydrocarbon Biofuel Production and Carbon Sequestration. AIChE Journal, 59, 1599-1621.
• Wang, B., Gebreslassie, B.H., & You, F.* (2013). Sustainable Design and Synthesis of Hydrocarbon Biorefinery via Gasification Pathway: Integrated Life Cycle Assessment and Technoeconomic Analysis with Multiobjective Superstructure Optimization. Computers & Chemical Engineering, 52, 55-76.
• Gebreslassie, B.H., Slivinsky, M., Wang, B., & You, F.* (2013). Life Cycle Optimization for Sustainable Design and Operations of Hydrocarbon Biorefinery via Fast Pyrolysis, Hydrotreating and Hydrocracking. Computers & Chemical Engineering, 50, 71-91.
• Yue, D., & You, F.* (2013). Sustainable Scheduling of Batch Processes under Economic and Environmental Criteria with MINLP Models and Algorithms. Computers & Chemical Engineering, 54, 44-59.
• Chu, Y., & You, F.* (2013). Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer fractional programming. Computers & Chemical Engineering, 58, 315-333.
• Yue, D., & You, F.* (2013). Planning and Scheduling of Flexible Process Networks under Uncertainty with Stochastic Inventory: MINLP Models and Algorithm. AIChE Journal, 59, 1511-1532.
• Chu, Y., & You, F.* (2013). Integrated Scheduling and Dynamic Optimization of Complex Batch Processes with General Network Structure Using a Generalized Benders Decomposition. Industrial & Engineering Chemistry Research, 52, 7867-7885.
• Chu, Y., & You, F.* (2013). Integrated scheduling and dynamic optimization of sequential batch processes with online implementation. AIChE Journal, 59, 2379-2406.
• Chu, Y., Wassick, J.M., & You, F.* (2013). Efficient scheduling method of complex batch processes with general network structure via agent-based modeling. AIChE Journal, 59, 2884–2906.
• Yue, D., Guillén-Gosálbez, G., & You, F.* (2013). Global optimization of large-scale mixed-integer linear fractional programming problems: A reformulation-linearization method and process scheduling applications. AIChE Journal, 59, 4255-4272.
• You, F., & Grossmann, I.E. (2013). Multi-cut Benders Decomposition Algorithm for Process Supply Chain Planning under Uncertainty. Annals of Operations Research, 210, 191–211.

2011-2012

• Wassick, J.M., Agarwal, A., Akiya, N., Ferrio, J., Bury, S., & You, F. (2012). Addressing the Operational Challenges in the Development, Manufacture, and Supply of Advanced Materials and Performance Products. Computers & Chemical Engineering, 47, 157–169.
• Chu, Y., & You, F.* (2012). Integration of scheduling and control with online closed-loop implementation: Fast computational strategy and large-scale global optimization algorithm. Computers & Chemical Engineering, 47, 248-268.
• Yue, D., Khatav, P., You, F.*, & Darling, S.B. (2012). Deciphering the Uncertainties in Life Cycle Energy and Environmental Analysis of Organic Photovoltaics. Energy & Environmental Science, 5, 9163-9172. [Highlighted Graphic Abstract of November 2012 issue of Energy & Environmental Science]
• Gebreslassie, B.H., Yao, Y., & You, F.* (2012). Design under Uncertainty of Hydrocarbon Biorefinery Supply Chains: Multiobjective Stochastic Programming Models, Decomposition Algorithm and A Comparison between CVaR and Downside Risk. AIChE Journal, 58, 2155-2179.
• You, F.*, Tao, L., Graziano, D., & Snyder, S.W. (2012). Optimal Design of Sustainable Cellulosic Biofuel Supply Chains: Multiobjective Optimization Coupled with Life Cycle Assessment and Input-Output Analysis. AIChE Journal, 58, 1157–1180.
• You, F.*, & Wang, B. (2011). Life Cycle Optimization of Biomass-to-Liquids Supply Chains with Distributed-Centralized Processing Networks. Industrial & Engineering Chemistry Research, 50, 10102–10127.
• Darling, S., You, F., Veselka, T., & Velosa, A. (2011). Assumptions and the Levelized Cost of Energy for Photovoltaics. Energy & Environmental Science, 4, 3133-3139. [Cover Art of September 2011 issue of Energy & Environmental Science]
• Zhong, Z., & You, F.* (2011). Oil Spill Response Planning with Consideration of Physicochemical Evolution of the Oil Slick: A Multiobjective Optimization Approach. Computers & Chemical Engineering, 35, 1614–1630.
• You, F.*, & Leyffer, S. (2011). Mixed-Integer Dynamic Optimization for Oil Spill Response Planning with Integration of A Dynamic Oil Weathering Model. AIChE Journal, 57, 3555-3564.

2008-2011

• You, F., Grossmann, I.E., & Wassick, J.M. (2011). Multisite Capacity, Production and Distribution Planning with Reactor Modifications: MILP Model, Bilevel Decomposition Algorithm vs. Lagrangean Decomposition Scheme. Industrial & Engineering Chemistry Research, 50, 4831–4849.
• You, F., & Grossmann, I.E. (2011). Stochastic Inventory Management for Tactical Process Planning under Uncertainties: MINLP Model and Algorithms. AIChE Journal, 57, 1250-1277.
• You, F., Pinto, J.M., Capon, E., Grossmann, I.E., Arora, N., & Megan, L. (2011). Optimal Distribution-Inventory Planning of Industrial Gases: I. Fast Computational Strategies for Large-Scale Problems. Industrial & Engineering Chemistry Research, 50, 2910-2927.
• You, F., Pinto, J.M., Grossmann, I.E., & Megan, L. (2011). Optimal Distribution-Inventory Planning of Industrial Gases: II. MINLP Models and Algorithms for Stochastic Cases. Industrial & Engineering Chemistry Research, 50, 2928-2945.
• You, F., & Grossmann, I.E. (2011). Balancing Responsiveness and Economics in the Design of Responsive Process Supply Chains with Multi-Echelon Stochastic Inventory. AIChE Journal, 57, 178-192.
• You, F., & Grossmann, I.E. (2010). Integrated Multi-Echelon Supply Chain Design with Inventories under Uncertainty: MINLP Models, Computational Strategies. AIChE Journal, 56, 419-440.
• You, F., Castro, P.M., & Grossmann, I.E. (2009). Dinkelbach’s algorithm as an efficient method to solve a class of MINLP models for large-scale cyclic scheduling problems. Computers & Chemical Engineering, 33, 1879-1889.
• You, F., Wassick, J.M., & Grossmann, I.E. (2009). Risk Management for Global Supply Chain Planning under Uncertainty: Models and Algorithms. AIChE Journal, 55, 931-946.
• You, F., & Grossmann, I.E. (2008). Mixed-Integer Nonlinear Programming Models and Algorithms for Large-Scale Supply Chain Design with Stochastic Inventory Management. Industrial & Engineering Chemistry Research, 47, 7802-7817.
• You, F., & Grossmann, I.E. (2008). Design of Responsive Supply Chains under Demand Uncertainty. Computers & Chemical Engineering, 32, 3090-3111.

2005-2006

• Yu, Y.-X., You, F., Tang, Y.-P., Gao, G.-H., & Li, Y.-G. (2006). Structure and Adsorption of A Hard-Core Multi-Yukawa Fluid Confined in A Slitlike Pore: Grand Canonical Monte Carlo Simulation and Density Functional Theory Study. Journal of Physical Chemistry B, 110, 334-341.
• You, F., Fu, S., Yu, Y.-X., & Gao, G.-H. (2005). Density functional for structures of colloids confined in a slit-like pore. Particuology, 3(5), 265-270.
• You, F., Yu, Y.-X., & Gao, G.-H. (2005). Structure of Inhomogeneous Attractive and Repulsive Hard-Core Yukawa Fluid: Grand Canonical Monte Carlo Simulation and Density Functional Theory Study. Journal of Physical Chemistry B, 109, 3512–3518.
• You, F., Yu, Y.-X., & Gao, G.-H. (2005). Structures and adsorption of binary hard-core Yukawa mixtures in a slitlike pore: Grand canonical Monte Carlo simulation and density-functional study. Journal of Chemical Physics, 123, 114705.
• Yu, Y.-X., Wu, J.-Z., You, F., & Gao, G.-H. (2005). A Self-Consistent Theory for the Inter and Intramolecular Correlation Functions of a Hard-Sphere-Yukawa-Chain Fluids. Chinese Physics Letter, 22(1), 246-249.

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Book

• You, F. (2015) Sustainability of Products, Processes and Supply Chains: Theory and Applications. Elsevier. 628 pages. ISBN: 9780444634726.