About Me
Muhammad Risyad Hasyim is a scientist and engineer working at the intersection of artificial intelligence and the physical sciences. As a postdoctoral fellow at the Simons Center for Computational Physical Chemistry at NYU, he builds machine learning models, runs large-scale computer simulations, and develops software tools, and applies them to both scientific and industrial problems. Most recently, he led the electrolytes effort for Open Molecules 2025 (OMol25), a collaboration with Meta FAIR to build one of the largest AI training datasets for chemistry.
His research spans three interconnected areas: molecular polaritonics, understanding how light confined in optical cavities can change molecular dynamics; machine learning for molecular simulations, developing AI models and datasets that accelerate computational chemistry; and glassy dynamics, studying how disordered materials like glasses slowly evolve over time.
His work combines mathematical theory, computer simulation, and modern AI methods — applied across scales, from individual molecules to bulk materials.
Dr. Hasyim completed his Ph.D. at the Department of Chemical & Biomolecular Engineering @ UC - Berkeley working with Prof. Kranthi Mandadapu. He attended Penn State for undergraduate studies and performed research under Prof. Ramakrishnan Rajagopalan (focusing on electrochemical capacitors) and Prof. Michael T. Lanagan (focusing on composite solid electrolytes).
Dr. Hasyim is also available for scientific consulting. Learn more →
Announcements
03/20/2026: Non-thermal aging of supercooled liquids in optical cavities is now up on arXiv.
01/28/2026: Work on vibrational polaritonics and mixed quantum-classical dynamics for cavity-modified chemistry is now published in the Journal of Chemical Physics, as part of an invited contribution to the special topics series on simulating excited states in condensed phases.
05/13/2025: Collaboration with Meta, LBNL, and many other institutions on generating the largest DFT dataset for machine learning interatomic potentials is now up on arXiv. See press for more details.