Python client and CLI for AtomGPT.org API (AGAPI)
Project description
AtomGPT.org API (AGAPI)
AGAPI provides examples of how to interact with https://atomgpt.org/
A significant amount of time in computational materials design is often spent on software installation, which creates a major barrier for newcomers to the field. AGAPI removes this layer by providing APIs that can be used directly for prediction and analysis, thereby lowering entry barriers and accelerating research.
Python SDK examples:
agapi/README.md
Prompt Examples
1. Access to Materials Databases
Prompt: List materials with Ga and As in JARVIS-DFT
Response:
2. Graph Neural Network Predictions
Prompt: Predict properties of this POSCAR using ALIGNN (Upload a POSCAR e.g. this file)
Response:
3. Graph Neural Network Force-field
Optimize structure from uploaded POSCAR file using ALIGNN-FF (Upload a POSCAR e.g. this file)
Response:
4. X-ray diffraction to atomic structure
Prompt: Convert XRD pattern to POSCAR (Upload a XRD file e.g. this file)
Response:
5. Live arXiv search
Prompt: Find papers on MgB2 in arXiv. State how many results did you find and show top 10 recent papers only.
Response:
References:
- https://doi.org/10.1007/s40192-025-00410-9
- https://doi.org/10.1016/j.commatsci.2025.114063
- https://doi.org/10.1021/acs.jpclett.4c01126
Note: AGAPI (ἀγάπη) in Greek means unconditional love.
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