This is a WESTPA 2.0 plug-in for SPIB augmented weighted ensemble.
- Free software: MIT license
- Documentation: https://spib-we.readthedocs.io.
- 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.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.