#Materials-informatics

Showing 12 of 12 repositories tagged #materials-informatics, ranked by stars

materialsproject
materialsproject
pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

Score
100
★ 1.9k ⑂ 958 +2/day
Python
whitead
whitead
dmol-book

Deep learning for molecules and materials book

Score
100
★ 744 ⑂ 137
Jupyter Notebook
materialyzeai
materialyzeai
matgl

Graph deep learning library for materials

Score
0
★ 560 ⑂ 116 +1/day
Python
tilde-lab
tilde-lab
awesome-materials-informatics

Curated list of known efforts in materials informatics, i.e. in modern materials science

Score
100
★ 519 ⑂ 110
RadonPy
RadonPy
RadonPy

RadonPy is a Python library to automate physical property calculations for polymer informatics.

Score
83
★ 269 ⑂ 52
Python
anthony-wang
anthony-wang
BestPractices

Things that you should (and should not) do in your Materials Informatics research.

Score
33
★ 203 ⑂ 80
Jupyter Notebook
BlueQuartzSoftware
BlueQuartzSoftware
DREAM3D

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

Score
67
★ 188 ⑂ 80
C++
hachmannlab
hachmannlab
chemml

ChemML is a machine learning and informatics program suite for the chemical and materials sciences.

Score
50
★ 177 ⑂ 33 +1/day
Python
ncfrey
ncfrey
resources

A Highly Opinionated List of Open Source Materials Informatics Resources

Score
17
★ 156 ⑂ 27
aksub99
aksub99
MolDQN-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Score
0
★ 84 ⑂ 27
Python
sparks-baird
sparks-baird
self-driving-lab-demo

Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.

Score
0
★ 83 ⑂ 18
Jupyter Notebook
amkrajewski
amkrajewski
nimCSO

nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning.

Score
0
★ 24 ⑂ 4
Nim
Related Topics
#materials-science#data-science#python#machine-learning#chemistry#deep-learning#materials#data-analysis#drug-discovery#science#deep#graph

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