Automating Computational Chemistry Workflows via OpenClaw and Domain-Specific Skills

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Authors: Mingwei Ding, Chen Huang, Yibo Hu, Yifan Li, Zitian Lu, Xingtai Yu, Duo Zhang, Wenxi Zhai, Tong Zhu, Qiangqiang Gu, Jinzhe Zeng
Cited by: 1

Abstract

This work presents a decoupled framework for multi-step computational chemistry automation built on OpenClaw. OpenClaw serves as the general-purpose agent for task coordination and supervision. Planning skills externalize task descriptions into executable task specifications, domain skills provide computational chemistry procedures, and the DPDispatcher skill grounds computation in heterogeneous HPC environments. In a methane-oxidation reactive MD case study, the framework coordinated cross-tool execution, supported bounded recovery from runtime failures, and extracted reaction networks.

Fields of Study & Subjects

Scientific Computing and Data Management Machine Learning in Materials Science Distributed and Parallel Computing Systems

Publication details

Journal / source
arXiv (Cornell University)
Publication date
26 March 2026
Document type
Preprint