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https://github.com/camsai/notebooks

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.
https://github.com/camsai/notebooks

artificial-intelligence chemistry data-science data-standards data-structures data-visualization density-functional-theory machine-learning materials materials-design materials-informatics materials-science modeling-and-simulation molecular-dynamics

Last synced: 20 days ago
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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.

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README

          

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"# CAMSAI Notebooks\n",
"\n",
"## 1. Overview.\n",
"\n",
"This repository contains a collection of Jupyter notebooks that demonstrate how to use the CAMSAI toolchain.\n",
"\n",
"## 2. Generic Functionality.\n",
"\n",
"The following notebooks are available:\n",
"\n",
"- [validate_data](validate_data.ipynb): This notebook provides an introduction to data standards.\n",
"\n",
"## 3. Specific Functionality.\n",
"\n",
"Below, we list the contents per provider.\n",
"\n",
"| File | Description |\n",
"|----------------------------------------------------|---------------------------------------------------- |\n",
"| [mat3ra/introduction](mat3ra/introduction.ipynb) | Mat3ra Introduction.\n",
"| [Examples/Workflow](jarvisnist/introduction.ipynb) | JARVIS NIST Introduction. |\n",
"\n",
"\n",
"## Links\n",
"\n",
"- [Mat3ra API Documentation](https://docs.mat3ra.com/)\n",
"- [JARVIS NIST](https://jarvis.nist.gov/)\n"
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