2025 News
Congratulations to Yuting! In collaboration with Prof. Yayuan Liu’s lab at Johns Hopkins University, our work “Multifunctional Binding Interface Drives Near-Unity CO Selectivity in Acidic CO₂ Electrolysis” has been published in Angewandte Chemie International Edition.
Congratulations to Runze, Pragyansh, Jiaqi, and Qiang! In collaboration with Prof. Prashant Deshlahra (Tufts University) and Prof. Hongfu Liu (Brandeis University), our perspective article “Field-Enhanced Catalysis: Integrating Experiment, Theory, and Machine Learning for Catalytic Innovation” has been published in Applied Catalysis B: Environment and Energy.
Our first seminar at WPI featured Prof. Michael J. Janik, who shared his excellent work in electrocatalysis. It was a great talk, and we captured some nice photos during his visit.
Big News! Starting August 1, 2025, Dr. Fanglin Che officially a tenured Associate Professor at @WPI in Chemical Engineering! Grateful for 6 amazing years at @UML—thank you! The whole research group is moving to WPI!! Excited for this next chapter, new research, and fresh collaborations. Let’s go!!!
Congratulations to Runze Zhao for the Kokes Award in NAM 2026 meeting! Yuting and Runze presented their recent works in electrocatalysis and field-enhanced catalysis!
Congratulations to Saleh Ahmat Ibrahim who is the 2nd place in the New England Catalysis Society’s Spring 2025 poster session!
Congratulations to Dr. Fanglin Che on receiving an Army DEVCOM award in collaboration with Prof. Ramaswamy Nagarajan, for work on ML-guided PFAS alternative design.
Excited to share our latest 2025 publication in @ACSCatalysis! This paper showcases multi-scale simulation–guided field-enhanced catalysis, using ammonia decomposition as a case study. Thanks to @doescience support.
A working lunch is a great way to recharge in the middle of the semester!
The first article in 2025 from our group. Happy to share our opinions in integrating physics principles With AI on field enhanced catalysis. Thanks to the students and the support from DOE early career (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
Excited to host the New England Catalysis Society Winter 2025 Symposium at UMass Lowell on Friday, January 10th!
