Review and Perspective Articles

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• 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.
• 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.
• 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.
• 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.
• 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.
• 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]
• Alshehri, A.S, & You, F.* (2022). Deep learning to catalyze inverse molecular design. Chemical Engineering Journal, 444, 136669.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Garcia, D.J., & You, F.* (2016). The Water-Energy-Food Nexus and Process Systems Engineering: A New Focus. Computers & Chemical Engineering, 91, 49–67.
• 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.
• 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.

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