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 materials science literature research service that extracts structured knowledge, generates traceable research hypotheses, and validates them through reproducible trials via the Model Context Protocol.
Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
Enables AI scientists to access over 1000 machine learning models, datasets, APIs, and scientific packages for data analysis, knowledge retrieval, and experimental design from any large language model.
Enables AI assistants to conduct academic research workflows such as paper discovery, literature mapping, citation chasing, author pivots, citation repair, and regulatory or species document retrieval.
Enables interaction with Edison Scientific platform's AI agents for scientific research, chemistry, and literature search, supporting tasks like synthesis planning, literature reviews, and data analysis.
