Learning data-efficient coarse-grained molecular dynamics from forces and noise
Published in Nature Communications, 2026
Publications
You can also find my articles on my Google Scholar profile.
Breaking the Barriers of Molecular Dynamics With Deep‐Learning: Opportunities, Pitfalls, and How to Navigate Them
Published in WIREs Computational Molecular Science, 2026
Navigating protein landscapes with a machine-learned transferable coarse-grained model
Published in Nature Chemistry, 2025
Machine learned coarse-grained protein force-fields: Are we there yet?
Published in Current Opinion in Structural Biology, 2023
Microscopic Model of Intermediate Phase in Flexible to Rigid Transition
Published in Frontiers in Physics, 2021
Modeling high-penetration of clean energy in the electrical grid: A case for Mexico
Published in In the proceedings of 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC), 2018