Automating Computational Chemistry Workflows via OpenClaw and Domain-Specific Skills
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