Metadata-Version: 2.4
Name: skalenet
Version: 2026.5.2
Summary: SKALENET: Hybrid Slater-Koster Tight-Binding Atomsitic Line Graph Networks for Scalable Materials Design
Home-page: https://github.com/atomgptlab/skalenet
Author: Kamal Choudhary
Author-email: kchoudh2@jhu.edu
License: MIT
Keywords: materials science,tight binding,graph neural network,quantum materials,machine learning,electronic structure
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.20.1
Requires-Dist: scipy>=1.5.0
Requires-Dist: matplotlib>=3.0.0
Requires-Dist: torch>=2.0
Requires-Dist: alignn
Requires-Dist: slakonet
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
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Dynamic: requires-dist
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# skale
SKALE: Hybrid Slater–Koster Tight-Binding Atomistic Line Graph Engine for Quantum Materials Design
