About

Mohsen is a Computational Chemist with a deep grounding in Mathematical Physics. His work centers on multiscale modeling, ranging from ab initio methods and machine-learned force fields (MLFF) to molecular dynamics and statistical simulations. He teaches quantum chemistry and quantum computing, and serves as a peer reviewer for more than 50 international journals. He is also a software developer, building open-source tools for his studies. He is IBM-certified in generative AI and in the data ecosystem (data engineering, analytics and data science), which he combines with physics-based modeling for material design.

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Publications (76)