69 citations · 69 across the 3 of their papers we have counts for
5 papers
Enhancing molecular dynamics with equivariant machine-learned densities
Mihail Bogojeski, Muhammad R. Hasyim, Leslie Vogt-Maranto +3
Machine-learning interatomic potentials (MLIPs) have enabled molecular dynamics at near ab initio accuracy, yet remain limited to energies and forces by construction, leaving elect…
Non-Thermal Aging of Supercooled Liquids in Optical Cavities
Muhammad R. Hasyim, Arianna Damiani, Norah M. Hoffmann
Aging is a hallmark of disordered materials such as glasses, plastics, and pharmaceuticals, where it often limits long-term stability and performance. In practice, aging is control…
The Open Molecules 2025 (OMol25) Dataset, Evaluations, and Models
Daniel S. Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith +20
Machine learning (ML) models hold the promise of transforming atomic simulations by delivering quantum chemical accuracy at a fraction of the computational cost. Realization of thi…
Theory of Crystallization versus Vitrification
Muhammad R. Hasyim, Kranthi K. Mandadapu
The competition between crystallization and vitrification in glass-forming materials manifests as a non-monotonic behavior in the time-temperature transformation (TTT) diagrams, wh…
Towards Accurate Mixed Quantum Classical Simulations of Vibrational Polaritonic Chemistry
Muhammad R. Hasyim, Arkajit Mandal, David R. Reichman
Interest in vibrational polaritonic chemistry, where ground-state chemical kinetics are modified via confined optical modes in a cavity, has surged in recent years. Although models…