Fengqi You is the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering at Cornell University. He holds affiliations with multiple Graduate Fields at Cornell, including Chemical Engineering, Computer Science, Electrical and Computer Engineering, Operations Research and Information Engineering, Systems Engineering, Mechanical Engineering, Civil and Environmental Engineering, and Applied Mathematics. Within Cornell, he serves as the Chair of Ph.D. Studies in Systems Engineering, Co-Director of the Cornell University AI for Science Institute (CUAISci), Co-Director of the Cornell Institute for Digital Agriculture (CIDA), and Director of the Cornell AI for Sustainability Initiative (CAISI). Before joining Cornell in 2016, he worked at Argonne National Laboratory’s Mathematics and Computer Science Division and served as a faculty member at Northwestern University. His research focuses on fundamental theories and methods of systems engineering, with applications in materials informatics, smart manufacturing, digital agriculture, energy systems, and sustainability. Fengqi has an h-index of 88 and has authored over 300 refereed articles in journals such as Nature, Science, Nature Sustainability, Nature Food, Nature Communications, Science Advances, and PNAS. His research has garnered editorial highlights in Science and Nature, featured on dozens of journal covers (e.g., Energy & Environmental Science), and covered by leading media outlets (e.g., New York Times, BBC, Reuters, Washington Post, Forbes, Wall Street Journal, Fortune, Daily Mail, The Guardian, Agence France-Presse, Bloomberg, Scientific American, Newsweek, BusinessWeek, Hill, CNN, Harvard Business Review,New Scientist, and National Geographic). He is an award-winning scholar and teacher, having received over 25 major national and international awards in the past six years from leading professional organizations such as the American Institute of Chemical Engineers (AIChE), American Chemical Society (ACS), Royal Society of Chemistry (RSC), American Society for Engineering Education (ASEE), and American Automatic Control Council (AACC), in addition to multiple best paper awards. Selected ones include the NSF CAREER Award (2016), AIChE Environmental Division Early Career Award (2017), AIChE Research Excellence in Sustainable Engineering Award (2017), Computing and Systems Technology (CAST) Outstanding Young Researcher Award from AIChE (2018), Cornell Engineering Research Excellence Award (2018), ACS Sustainable Chemistry & Engineering Lectureship Award (2018), AIChE Excellence in Process Development Research Award (2019), AIChE Innovations in Green Process Engineering Award (2020), Mr. & Mrs. Richard F. Tucker Excellence in Teaching Award (2020), ASEE Curtis W. McGraw Research Award (2020), O. Hugo Schuck Award from AACC (2020), AIChE Sustainable Engineering Forum Education Award (2021), AIChE George Lappin Award (2022), Stratis V. Sotirchos Lectureship Award by the Foundation for Research & Technology – Hellas (FORTH) (2022), and the Lawrence K. Cecil Award in Environmental Chemical Engineering (2024). He serves as an editor of Computers & Chemical Engineering; associate editor of the AAAS journal Science Advances, Applied Energy, and IEEE Transactions on Control Systems Technology; consulting editor of the AIChE Journal; subject editor of Advances in Applied Energy; guest editor of Energy, Journal of Cleaner Production, and Renewable & Sustainable Energy Reviews; and was on the editorial boards of ACS Sustainable Chemistry & Engineering, Industrial & Engineering Chemistry Research, PRX Energy, and more. He is an elected Fellow of the Royal Society of Chemistry (FRSC), Fellow of the AIChE, and Fellow of the American Association for the Advancement of Science (AAAS).

Computational Optimization, Industrial Big Data Analytics and Machine Learning, Deep Learning, Quantum Computing and Artificial Intelligence, Life Cycle Assessment and Industrial Ecology, Energy Systems Engineering, and Process Design

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, doi:10.1038/s41586-024-08408-7 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, 18, 194-213. [Cover Art of January 2025 issue of Energy & Environmental 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 Zhao, X., & You, F.* (2025). Decarbonizing energy: Plastic waste trade for zero waste 2040. Advances in Applied Energy, doi:10.1016/j.adapen.2025.100216 Ajagekar, A., & You, F.* (2025). Decarbonization of Building Operations with Adaptive Quantum Computing-based Model Predictive Control. Engineering, doi:10.1016/j.eng.2025.02.002 Kumdokrub, T., & You, F.* (2025). Techno-economic and environmental optimization of agrivoltaics: A case study of Cornell University. Applied Energy, 384, 125436. Menon, R., Both, A.J. & You, F.* (2025). A life cycle assessment and techno-economic analysis of plant factories. Journal of Cleaner Production, 490, 144741. Rofougaran, R., Wang, R., Ajagekar, A., & You, F.* (2025). Encoding proteins as quantum states with approximate quantum state preparation by iterated sparse state preparation. Quantum Science and Technology, DOI 10.1088/2058-9565/adb3c7 Ajagekar, A., Decardi-Nelson, B., Shang, C., & You, F.* (2025). Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges. Computers & Chemical Engineering, 194, 108989. 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. 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] 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. 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] 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. 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. 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.