xiaohang007 / SLICES
SLICES: An Invertible, Invariant, and String-based Crystal Representation [2023, Nature Communications] MatterGPT, SLICES-PLUS
Why this job: works in the areas we cover, but does not say which job it does
What it does
The Simplified Line-Input Crystal-Encoding System (SLICES) is the first invertible and invariant crystal representation tool. This software supports encoding and decoding crystal structures, reconstructing them, and generating new materials with desired properties using generative deep learning.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 146
- +1 this week
- Licence
- LGPL-2.1
- Share-alike for changes
- Downloads for
- Linux
- From the latest release
- Latest version
- v4.0.2
- Released 3 days ago
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 76% closed
- 4 still open
- Pull requests
- 3 merged
- 1 waiting
- Releases
- 18
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Languages
- Python 94%
- Shell 4%
- Jupyter Notebook 1%
- C 1%
Topics
- crystal
- crystallography
- deep-learning
- machine-learning
- materials-informatics
- materials-science
- representation
- smiles
Project record
- JobOther AI tools
- StatusListed
- Commits265
- Forks56
- Watching2
- Stars in 28 days+1
- CreatedApr 27, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026