SDG 7: Affordable and Clean Energy - Ensure access to affordable, reliable, sustainable and modern energy for all
Prof. Fanglin Che is an Associate Professor in the Department of Chemical Engineering at Worcester Polytechnic Institute (WPI). Her research focuses on AI-guided multi-physics and multi-scale simulations for the rational design of energy-efficient technologies. She specializes in cutting-edge catalytic systems, including electric field-enhanced catalysis, electrocatalysis, plasma-assisted catalysis, and microwave catalysis—all poised to transform the future of energy and chemical processes. The novelty of Prof. Che’s work is the integration of interpretable, physics-informed machine learning with advanced computational models to uncover the underlying mechanisms of structure-sensitive catalysis. Her group aims to accelerate sustainable materials and process design, particularly through the utilization of earth-abundant resources.
Following her Ph.D. at Washington State University under Prof. Jean-Sabin McEwen (2012- 2016), Prof. Che pursued postdoctoral research at the University of Toronto (2017–2018) with Prof. Edward Sargent, where she explored computational electrocatalysis. She continued her postdoctoral training at the University of Delaware (2018–2019) in Prof. Dionisios G. Vlachos’s lab, focusing on computational fluid dynamics for chemical systems.
Dr. Che began her independent academic career as an Assistant Professor at UMass Lowell (2019–2025), before joining WPI in August 2025 as an Associate Professor.
Her pioneering contributions were recognized with the 2023 DOE Early Career Award in Catalysis Science, granted by the Basic Energy Sciences Division. Her research is supported by major agencies including the National Science Foundation, U.S. Department of Energy, Office of Naval Research, UL Research Institutes, and the U.S. Army. Prof. Che’s work bridges theoretical innovation and real-world application, addressing urgent challenges in sustainability and energy transformation.
Prof. Fanglin Che is an Associate Professor in the Department of Chemical Engineering at Worcester Polytechnic Institute (WPI). Her research focuses on AI-guided multi-physics and multi-scale simulations for the rational design of energy-efficient technologies. She specializes in cutting-edge catalytic systems, including electric field-enhanced catalysis, electrocatalysis, plasma-assisted catalysis, and microwave catalysis—all poised to transform the future of energy and chemical processes. The novelty of Prof. Che’s work is the integration of interpretable, physics-informed machine learning with advanced computational models to uncover the underlying mechanisms of structure-sensitive catalysis. Her group aims to accelerate sustainable materials and process design, particularly through the utilization of earth-abundant resources.
Following her Ph.D. at Washington State University under Prof. Jean-Sabin McEwen (2012- 2016), Prof. Che pursued postdoctoral research at the University of Toronto (2017–2018) with Prof. Edward Sargent, where she explored computational electrocatalysis. She continued her postdoctoral training at the University of Delaware (2018–2019) in Prof. Dionisios G. Vlachos’s lab, focusing on computational fluid dynamics for chemical systems.
Dr. Che began her independent academic career as an Assistant Professor at UMass Lowell (2019–2025), before joining WPI in August 2025 as an Associate Professor.
Her pioneering contributions were recognized with the 2023 DOE Early Career Award in Catalysis Science, granted by the Basic Energy Sciences Division. Her research is supported by major agencies including the National Science Foundation, U.S. Department of Energy, Office of Naval Research, UL Research Institutes, and the U.S. Army. Prof. Che’s work bridges theoretical innovation and real-world application, addressing urgent challenges in sustainability and energy transformation.
SDG 7: Affordable and Clean Energy - Ensure access to affordable, reliable, sustainable and modern energy for all
SDG 13: Climate Action - Take urgent action to combat climate change and its impacts
Citations: 5752. h-index: 27. i10-index: 36. By 08/05/2025 from Google Scholar
Selective Representative Publications
(Corresponding Author) P. Singh, Q. Li, Y. Liu, F. Che*, Multiscale Simulation Guided Electric Field-Enhanced Ammonia Catalytic Cracking, ACS Catal., 2025, DOI: 10.1021/acscatal.5c01829, IF: 11.5
(Corresponding Author) S. A. Ibrahim, S. Meng, C. Milhans, M. H. Barecka, Y. Liu, Q. Li, J. Yang, Y. Sha, Y. Yi, F. Che*, Interpretable Machine Learning Guided Plasma Catalysis for Hydrogen Economy, Accepted by Nature Chemical Engineering, NATCHEMENG-24051015B, 2025.
(Corresponding Author) R. Zhao, Q. Li, J. Yang, C. Zhu, F. Che*. Integrating Physical Principles with Machine Learning for Predicting Field-Enhanced Catalysis, JACS Au, 2025, DOI: 10.1021/jacsau.4c00901. IF: 8.5
(Corresponding Author) Y. Xu, F. Che*. Beyond post-C-C coupling in CO2 electroreduction, views and news, Nature Chemical Engineering, 2024, 1(2), 134-135.
(Corresponding Author) Y. Xu, M. Ross, H. Xin, F. Che*, Engineering Bimetallic Interface and Revealing the Mechanism for CO2 Electroreduction Reaction to C3+ Liquid Chemicals, Cell Rep. Phys. Sci., 2023, 4 (12), 101718. IF: 8.42
(Corresponding Author) M. Wan, Z. Yang, H. Morgan, J. Shi, F. Shi, M. Liu, H.-W. Wong, Z. Gu*, and F. Che*,Enhanced CO2 Reactive Capture and Conversion Using Aminothiolate Ligand–Metal Interface, J. Am. Chem. Soc., 2023, 145 (48), 26038-26051. IF: 16.383. Featured as the front cover. https://pubs.acs.org/toc/jacsat/145/48
(Corresponding Author) M. Wan†, H. Yue†, J. Notarangelo, H. Liu, F. Che*, “Deep-Learning Assisted Electric Field-Accelerated Ammonia Synthesis”, JACS Au, 2022, 2, 1338. ACS Editor’s Choice. Invited Front Cover. IF: 8.0
(Corresponding Author) M. Wan, Z. Gu, F. Che*, Hybrid Organic‐Inorganic Heterogeneous Interfaces Modulated Electrocatalysis: A Theoretical Study of CO2 Reduction to C2. ChemCatChem, 2022, 14 (4), e202200054. Invited Front Cover. IF: 5.501