معرفی
M. Bokdam is an Assistant Professor at the Computational Chemical Physics department within the MESA+ Institute at the University of Twente. His work bridges computational physics and materials science, focusing on advanced simulation techniques and machine learning applied to complex material systems.
Research interests include
- Perovskite materials and their thermal/electronic properties
- Machine learning force fields for ab initio molecular dynamics
- Spin dynamics and quantum mechanical modeling
- Graphene-based heterostructures and interface phenomena
- Phase transitions and structural distortions in 2D materials
Recent publications highlight trends in using AI-driven simulations to study perovskites and graphene interfaces, with keywords spanning computational physics, materials science, and thermodynamics. His work has been recognized through prizes in 2022, including the FAIR DATA Fund and Onderwijsprijs TN (Teaching Award in Natural Sciences).
Scientific awards include
- FAIR DATA Fund 2022
- Onderwijsprijs TN 2022
- Applied Physics Prize 2022
Key datasets co-authored by Bokdam include force field training databases for CsPbBr3, LaMnO3/SrRuO3, and mixed MAPbI3−xBrx perovskites, emphasizing open science practices.
