214 citations · 471 across the 7 of their papers we have counts for
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cs.AI2025★ 16 cited
MDCrow: Automating Molecular Dynamics Workflows with Large Language Models
Quintina Campbell, Sam Cox, Jorge Medina +2
Molecular dynamics (MD) simulations are essential for understanding biomolecular systems but remain challenging to automate. Recent advances in large language models (LLM) have dem…
cs.AI2024★ 9 cited
Aviary: training language agents on challenging scientific tasks
Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths +8
Solving complex real-world tasks requires cycles of actions and observations. This is particularly true in science, where tasks require many cycles of analysis, tool use, and exper…