Contributors: CompRhys

Name: CompRhys
Login: CompRhys
Email: rhys.goodall@outlook.com
Description: Working on the application of Machine Learning to Materials Discovery | PhD in Physics from the University of Cambridge
Website: https://comprhys.github.io/
Twitter: RhysGoodall
Repositories count: 22
Last synced at: 2024-06-11T15:59:12.781Z
Total stars: 118
Followers: 92
Following: 21
OST Projects: 2
Languages: Python, Jupyter Notebook
Categories: Energy Storage
Sub Categories: Battery
Topics: declarative, graph-library, interactive, plotly, plotly-dash, plotlyjs, regl, sparkles, materials-informatics, materials-science, plots, uncertainty, uncertainty-calibration, ase, computational-chemistry, deepmd, ipi, lammps, molecular-dynamics, potential-energy, rocm, autograd, tensor

Contributed Projects

beep

A set of tools designed to support Battery Evaluation and Early Prediction of cycle life corresponding to the research of the d3batt program and the Toyota Research Institute.

Energy Storage - Battery - Last synced: 08 May 2025 - Ranking: 16.5

BatteryML

An Open-Source Tool for Machine Learning on Battery Degradation.

Energy Storage - Battery - Last synced: 09 May 2025 - Ranking: 8.9