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Global optimization of atomic clusters using ASE with Basin Hopping and Genetic Algorithms, MLIP calculators (MACE, UMA), surface/adsorbate workflows, and NEB transition-state search.
pip install scgo
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
scgo publishes 1 wheel and 1 source archive for version 0.5.2. Wheel platform tags: any.
Declared Python classifiers: 3.12, 3.13.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .