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…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
LARA: Validation-Driven Agentic Supercomputer Workflows for Atomistic Modeling
William Dawson, Louis Beal, Yoann Curé +3
Large language models (LLMs) and agentic systems have recently demonstrated potential for automating scientific workflows, including atomistic simulations. However, their deploymen…
Coupling Quantum Mechanical Modeling and Molecular Dynamics on Heterogeneous Supercomputers for Studying Distal Mutation Effects on Drug Binding in HIV-1
William Dawson, Louis Beal, Marco Zaccaria +1
Predicting how protein mutations affect drug binding remains a major challenge, particularly when the mutations are distal from the binding site. In this study, we introduce a coup…