Published May 30, 2025
| Version v0
Publication
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Unified physio-thermodynamic descriptors via learned CO2 adsorption properties in metal-organic frameworks (IsothermNet) Data
Authors/Creators
Description
The full dataset and IsothermNet model weights (for CO2 adsorption at 50 bars) for the paper "Unified physio-thermodynamic descriptors via learned CO2 adsorption properties in metal-organic frameworks" (published in npj Computational Materials).
Link to paper: https://www.nature.com/articles/s41524-025-01700-8
Files
full_dataset.zip
Files
(115.8 MB)
| Name | Size | Download all |
|---|---|---|
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md5:e3f33bbe573c56660edecd9fa54fa2e8
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40.0 MB | Preview Download |
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md5:018d0540d62bbf51caed671cbae4e932
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75.8 MB | Preview Download |
Additional details
Dates
- Accepted
-
2025-06-13Manuscript accepted for publication
Software
- Repository URL
- https://github.com/emilylin3/IsothermNet
- Programming language
- Python , Jupyter Notebook
- Development Status
- Active