softspot, the Python library accompanying the research paper “A simple and broadly-applicable definition of shear transformation zones”
The Python library softspot analyzes low-energy quasilocalized excitations in computer glasses, based solely on the harmonic approximation of the potential energy. It accompanies the research paper A simple and broadly-applicable definition of shear transformation zones by David Richard, Geert Kapteijns, Julia Giannini, Lisa Manning, and Edan Lerner.
Please refer to the documentation for an in-depth description of the code.
Please see the iPython tutorial to get started with a simple example.
Metadata
Release files for softspot 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| softspot-1.0.0.tar.gz | 6.3 kB | Details |
Release files / softspot-1.0.0.tar.gz
| Download URL | softspot-1.0.0.tar.gz |
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| Size | 6.3 kB |
| Tags | Source |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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