Metadata-Version: 2.1
Name: beep
Version: 2021.9.30.15
Summary: beep is a python package supporting Battery Estimation and Early Prediction of battery cycle life.
Home-page: https://github.com/TRI-AMDD/beep
Author: AMDD - Toyota Research Institute
Author-email: patrick.herring@tri.global
Maintainer: Patrick Herring
Maintainer-email: patrick.herring@tri.global
License: Apache
Keywords: materials,battery,chemistry,science,electrochemistry,energy,AI,artificial intelligence
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: tests
License-File: LICENSE

# Battery Evaluation and Early Prediction (BEEP)

![Testing - main](https://github.com/TRI-AMDD/beep/workflows/Testing%20-%20main/badge.svg)
[![Coverage Status](https://coveralls.io/repos/github/TRI-AMDD/beep/badge.svg?branch=master)](https://coveralls.io/github/TRI-AMDD/beep?branch=master)

BEEP is a set of tools designed to support Battery Evaluation and Early Prediction of cycle life corresponding to the research of the [d3batt program](https://d3batt.mit.edu/) and the [Toyota Research Institute](http://www.tri.global/accelerated-materials-design-and-discovery/).

* **Documentation:** https://tri-amdd.github.io/beep
* **Source code:** https://github.com/tri-amdd/beep
* **PyPi release:** https://pypi.org/project/beep/

#### How to cite
If you use BEEP, please cite this article:

> P. Herring, C. Balaji Gopal, M. Aykol, J.H. Montoya, A. Anapolsky, P.M. Attia, W. Gent, J.S. Hummelshøj, L. Hung, H.-K. Kwon, P. Moore, D. Schweigert, K.A. Severson, S. Suram, Z. Yang, R.D. Braatz, B.D. Storey, SoftwareX 11 (2020) 100506.
[https://doi.org/10.1016/j.softx.2020.100506](https://doi.org/10.1016/j.softx.2020.100506)



