Stars
A collection of scipts illustrating the use of OpenPNM
A set of tools for characterizing and analyzing 3D images of porous materials
Datasets and code to accompany Briceno-Mena, Luis A. and Venugopalan, Gokul and Romagnoli, José A. and Arges, Christopher G., Machine Learning for Guiding High-Temperature PEM Fuel Cells with Great…
The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of …
Repository for the paper "Statistical learning for accurate and interpretable battery lifetime prediction"
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Code for Nature energy manuscript
This repository contains much of the data, code, and visualizations associated with this manuscript:
A 3D sparse LBM solver implemented using Taichi
Conditioning of three-dimensional geological and pore scale generative adversarial networks
A Python package for performing pore network modeling of porous media
Generate random porous media with Quartet Structure Generation Set (QSGS) method.