Name: Materials Virtual Lab
Type: Organization
Bio: The Materials Virtual Lab is dedicated to the application of first principles calculations and informatics to accelerate materials design.
Location: La Jolla, CA
Blog: www.materialsvirtuallab.org
Materials Virtual Lab's Projects
New API client for the Materials Project
Repository for CENG114 Probability and Statistics for Engineers
Dash repo of user contributed docsets
Jupyter notebooks and data for our Chemistry of Materials article "Data-driven First Principles Methods for the Study and Design of Alkali Superionic Conductors"
Derivative structure enumeration library
Flask frontend for MongoDB
This repo implements a web application utilizing a deep neural network to predict the formation energies and stability of garnet crystals.
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
A python library for calculating materials properties from the PES
materials.sh
A guide to the Materials Virtual Lab
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
Web interface to pymatgen
Graph deep learning library for materials
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Benchmark Suite for Machine Learning Interatomic Potentials for Materials
This repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.
Course materials for NANO 106 - Crystallography of Materials
Repository for UCSD NANO 266 Quantum Mechanical Modelling of Materials
Data Science for Materials Science
Phonon code
Pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram.
This add-on to pymatgen provides tools for analyzing diffusion in materials.
A template repository for setting up new python packages
Repository for spectral neighbor analysis potential (SNAP) model development.