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原子模拟的智能编排

An Agentic Orchestration of Atomistic Simulations

Rahul Somasundaram, Adela Habib, Khanh Dang, Sachin Shivakumar, Ryley G. Hill, Golo Wimmer, Avanish Mishra, Aleksandra Pachalieva, Arthur Lui, Hari Viswanathan, Michael Grosskopf, Saryu Fensin, Russell Bent, Nathan DeBardeleben, Earl Lawrence

arXiv 2607.22596首次发表:更新:

发表机构

Los Alamos National Laboratory(洛斯阿拉莫斯国家实验室)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

研究针对原子模拟执行流程复杂需专业知识的问题,提出嵌入URSA框架的基于代理系统,利用LAMMPS工具自动化模拟流程,能自主选势、构建运行模拟及错误恢复,经评估提高了原子建模的多方面性能。

AI 中文摘要

原子模拟是材料设计的核心,但执行涉及复杂多步骤工作流程,需要大量专业知识。本文提出一个嵌入URSA框架的基于代理的系统,使用大规模原子/分子大规模并行模拟器(LAMMPS)工具实现原子模拟的设计、执行和验证自动化。该系统能自主选择原子间势、构建并运行模拟,在闭环工作流程中进行迭代错误恢复。通过与LAVA基准测试评估代理的科学可靠性。此框架减少人工干预和试错,提高了原子建模的严谨性、可重复性和可扩展性。

英文摘要

Atomistic simulations are central to materials design, but their execution involves complex, multi-step workflows that require significant human expertise. Here, we present an agent-based system embedded within the URSA (Universal Research and Scientific Agent) framework that automates the design, execution, and validation of atomistic simulations, demonstrated using the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) tool. Our system autonomously selects interatomic potentials, constructs and runs simulations, and performs iterative error recovery within a closed-loop workflow. We evaluate the scientific reliability of the agent by benchmarking its outputs against LAVA, a high-throughput toolkit for LAMMPS and the Vienna Ab initio Simulation Package (VASP) calculations. Our framework reduces manual intervention and trial-and-error, thereby improving the rigor, reproducibility, and scalability of atomistic modeling.

Comments19 pages, 9 figures

论文原文

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