Mun Hong Fong

Moscow Institute of Thermal Technology — Russia

Materials Science · Physical Sciences

4h-index56citations9works6.22yr avg
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Research Topics

Machine Learning in Materials Science(6), Electrocatalysts for Energy Conversion(2), Protein Structure and Dynamics(2), Computational Drug Discovery Methods(2), Neurological Disease Mechanisms and Treatments(2)

Publications9 total

Electron flow matching for generative reaction mechanism prediction
Nature·2025· 7 cited
ASKCOS: Open-Source, Data-Driven Synthesis Planning
Accounts of Chemical Research·2025· 27 cited
Higher-level Strategies for Computer-Aided Retrosynthesis
2025· 2 citedOpen Access
Electron flow matching for generative reaction mechanism prediction obeying conservation laws
arXiv (Cornell University)·2025Open Access
Higher-level Strategies for Computer-Aided Retrosynthesis
2025· 1 cited
ASKCOS: an open source software suite for synthesis planning
arXiv (Cornell University)·2025· 6 citedOpen Access
Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset
Angewandte Chemie·2024· 3 citedOpen Access
Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset
Angewandte Chemie International Edition·2024· 10 citedOpen Access
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset
arXiv (Cornell University)·2024Open Access

Frequent Co-authors

Joonyoung F. Joung(9), Connor W. Coley(9), Zhengkai Tu(7), Jihye Roh(7), Kevin Yu(4), Jordan P. Liles(4), John Bradshaw(3), Sourabh J. Choure(2), Itai Levin(2), Nathan Morgan(2), Shih‐Cheng Li(2), Xiaoying Sun(2), Heshan Lin(2), Mark Murnin(2), Thomas J. Struble(2), Michael Fortunato(2), Mengjie Liu(2), William H. Green(2), Klavs F. Jensen(2), Nicholas Casetti(2)