CAMSAI

All

5 repositories

standards
Public
CAMSAI Standards provides schemas, validation tools, and data models for materials science and AI research. It ensures data consistency, interoperability, and quality across workflows. Built with Pydantic, it streamlines data integration and supports reproducible, collaborative research in the CAMSAI ecosystem.
data-science machine-learning materials chemistry json-schema artificial-intelligence schemas materials-science materials-informatics materials-design
Python
•
Apache License 2.0
•0•0•0•0•Updated Dec 13, 2024Dec 13, 2024
jupyterlite
Public
CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
python materials chemistry numpy scipy matplotlib materials-science materials-informatics materials-design pyodide
Shell
•
Apache License 2.0
•0•0•0•0•Updated Dec 13, 2024Dec 13, 2024
notebooks
Public
CAMSAI Notebooks provides interactive Jupyter notebooks for AI-driven materials science research. These notebooks demonstrate the use of CAMSAI tools, schemas, and workflows, offering hands-on examples for data validation, materials design, and AI integration to accelerate scientific discovery.
data-science machine-learning materials chemistry molecular-dynamics data-visualization artificial-intelligence data-structures density-functional-theory materials-science
Jupyter Notebook
•0•0•0•0•Updated Dec 13, 2024Dec 13, 2024
.github
Public
0•0•0•0•Updated Dec 13, 2024Dec 13, 2024
actions
Public
GitHub actions
Apache License 2.0
•0•0•0•0•Updated Dec 13, 2024Dec 13, 2024