https://github.com/cgevans/stochastic-greedy-nucleation
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 7 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (4.3%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: cgevans
- Language: Rust
- Default Branch: main
- Size: 48.8 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.md
This is an implementation of the stochastic greedy model of nucleation, and related models, originally described in Evans et al, 2024 [^1]. The repository includes both the original Julia code, and a Rust reimplementation that can also be used as a Python module. Much of the Rust code was generated with heavy use of LLM-based translation, and needs review.
[^1]: C. G. Evans, J. O’Brien, E. Winfree, and A. Murugan, “Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly”, Nature, vol. 625, no. 7995, pp. 500–507, Jan. 2024. doi:10.1038/s41586-023-06890-z
Owner
- Name: Constantine Evans
- Login: cgevans
- Kind: user
- Repositories: 13
- Profile: https://github.com/cgevans
GitHub Events
Total
- Push event: 1
- Create event: 2
Last Year
- Push event: 1
- Create event: 2
Issues and Pull Requests
Last synced: 12 months ago
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- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
Cargo.toml
cargo
- criterion 0.5 development
- approx 0.5.1
- itertools 0.14.0
- logaddexp 0.1.3
- ndarray 0.16
- ndarray-stats 0.6.0
- num-traits 0.2.19
- numpy 0.23
- pyo3 0.23
- rand 0.8
pyproject.toml
pypi
- numpy >=1.20.0