wangdedi1997 / spib_we

This is a package for SPIB augmented weighted ensemble WESTPA plug-ins.

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SPIB-WE plug-in

Documentation Status

This is a WESTPA 2.0 plug-in for SPIB augmented weighted ensemble.

Features

  • Employ SPIB to automatically construct low-dimensional CVs to augment weighted ensemble simulations;
  • Implement a rectilinear grid binning scheme to automatically determine bin sizes for uniformly binning SPIB-learned CVs;
  • Propose a hybrid approach that combines SPIB-learned CVs with expert-based CVs to achieve more reliable sampling.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

About

This is a package for SPIB augmented weighted ensemble WESTPA plug-ins.

License:MIT License


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