3 citations · 3 across the 4 of their papers we have counts for
4 papers
Toward Exascale AI for Science: A Scalable AI Skill for Autonomous Microkinetics Discovery
Ken-ichi Nomura, William Dawson, Nabankur Dasgupta +4
We present a scalable AI-driven framework that advances autonomous scientific discovery by combining agentic workflow automation, high-performance computing, and scientific surroga…
Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices
Taufeq Mohammed Razakh, Thomas Linker, Ye Luo +12
Light-matter dynamics in topological quantum materials enables ultralow-power, ultrafast devices. A challenge is simulating multiple field and particle equations for light, electro…
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization
Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang +8
Neural-network quantum molecular dynamics (NNQMD) simulations based on machine learning are revolutionizing atomistic simulations of materials by providing quantum-mechanical accur…
Physics-informed Neural-Network Software for Molecular Dynamics Applications
Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson +4
We have developed a novel differential equation solver software called PND based on the physics-informed neural network for molecular dynamics simulators. Based on automatic differ…