Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.
Enables LLM agents to run verified DFT materials workflows (structure fetch, relaxation, band/DOS) with automated convergence gates and physics validation, ensuring every result is machine-verified with a complete evidence trail.
A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.
