A
AdsMind
Physics-grounded multi-agent system for catalyst surface adsorption discovery
Open SourceFree
About
AdsMind is a research framework combining LLM agents with machine-learning force fields to discover adsorption configurations on catalyst surfaces. Uses physics-based feedback for self-correction, targeting materials science researchers working on heterogeneous catalysis. Demonstrates how multi-agent systems can accelerate computational chemistry workflows by integrating domain-specific knowledge with autonomous agents.
Details
| Type | coding-agent |
| Deployment | self-hosted |
| Supported Models |
Tags
multi-agentautonomousresearchself-hostedopen-source
Quick Info
- Organization
- Research Collaboration
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 18, 2026
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