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Search results for python materials science
materials-science
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python
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111 search results found
Deepchem
⭐
4,876
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Deepmd Kit
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1,303
A deep learning package for many-body potential energy representation and molecular dynamics
Pymatgen
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1,254
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.
Nequip
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478
NequIP is a code for building E(3)-equivariant interatomic potentials
Fipy
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449
FiPy is a Finite Volume PDE solver written in Python
Dscribe
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343
DScribe is a python package for creating machine learning descriptors for atomistic systems.
Awesome Materials Informatics
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310
Curated list of known efforts in materials informatics = modern materials science
Tomviz
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297
Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data
Pycalphad
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250
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
Stk
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214
A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.
Sumo
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173
Heavyweight plotting tools for ab initio calculations
Allegro
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169
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
Matgl
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166
Graph deep learning library for materials
Atomai
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164
Deep and Machine Learning for Microscopy
M3gnet
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163
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
Bestpractices
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142
Things that you should (and should not) do in your Materials Informatics research.
Atomate2
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112
atomate2 is a library of computational materials science workflows
Amset
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111
Electronic transport properties from first-principles calculations
Abipy
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103
Open-source library for analyzing the results produced by ABINIT
Radonpy
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98
RadonPy is a Python library to automate physical property calculations for polymer informatics.
Pymatviz
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98
A toolkit for visualizations in materials informatics.
F3dasm
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96
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Pymks
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88
Materials Knowledge System in Python
Matbench
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88
Matbench: Benchmarks for materials science property prediction
Catmap
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84
Catalyst Micro-kinetic Analysis Package for automated creation of micro-kinetic models used in catalyst screening
Catlearn
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82
A machine learning environment for atomic-scale modeling in surface science and catalysis.
Cgnn
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75
Crystal Graph Neural Networks
Foundry
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71
Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry
Robocrystallographer
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70
Automatic generation of crystal structure descriptions.
Smact
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69
Python package to aid materials design and informatics
Reaction Network
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67
Reaction Network is a Python package for predicting likely inorganic chemical reaction pathways using graph theoretical methods. Project led by @mattmcdermott (Lawrence Berkeley National Lab).
Pybaselines
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66
A Python library of algorithms for the baseline correction of experimental data.
Crabnet
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65
Predict materials properties using only the composition information!
Ml4chem
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64
ML4Chem: Machine Learning for Chemistry and Materials
Espei
⭐
54
Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
Self Driving Lab Demo
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54
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.
Text Mined Synthesis_public
⭐
52
Codes for text-mined solid-state reactions dataset
Catkit
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52
General purpose tools for high-throughput catalysis
Uf3
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51
UF3: a python library for generating ultra-fast interatomic potentials
Smol
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51
Statistical Mechanics on Lattices
Aiida Vasp
⭐
42
A plugin to AiiDA for running simulations with VASP
Pygaps
⭐
42
A framework for processing adsorption data and isotherm fitting
Moldqn Pytorch
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40
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Spgrep
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37
On-the-fly generator of space-group irreducible representations
Crystals
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36
Data structures, algorithms, and parsing for crystallography
Pymicro
⭐
36
A Python package to work with material microstructures and 3d data sets
High Entropy Alloys
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35
Generate random alloys and compute various properties
Nonrad
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32
Implementation for computing nonradiative recombination rates in semiconductors
Thermoparser
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31
A tool for streamlining data analysis and visualisation for thermoelectrics and charge carrier transport in computational materials science.
Matador
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28
⚗️ matador is an aggregator, manipulator and runner of first-principles calculations, written with a bent towards battery 🔋 electrode materials.
Sqsgenerator
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28
A command line tool written in Python/C++ for finding optimized SQS structures
Xtal2png
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28
Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
Materials Word Embeddings
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27
Word2Vec model trained across 640k+ materials science journal articles
Mat_discover
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27
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
Mpes
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26
Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)
Datalab
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25
datalab is a place to store experimental data and the connections between them.
Mispr
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24
A software for automating materials science computations
Matid
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23
MatID is a python package for identifying and analyzing atomistic systems based on their structure. MatID is designed to help researchers in the automated analysis and labeling of atomistic datasets.
Xerus
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23
XRay Estimation and Refinement Using Similarity (XERUS)
Polygnn
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22
polyGNN is a Python library to automate ML model training for polymer informatics.
Slices
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22
SLICES: An Invertible, Invariant, and String-based Crystal Representation (Text2Crystal)
Pdyna
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21
Python package to analyse the structural dynamics of perovskites
Polymer Molecular Dynamics
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21
Perform high-throughput polymer molecular dynamics simulations with ease
Lamipy
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20
Composite laminates engineering simulations in Python.
Molecular Vae
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19
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
Tilde
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19
Materials informatics framework for ab initio data repositories
Simphony Osp
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16
A framework that aims to achieve interoperability between software such as simulation engines, databases and data repositories using a knowledge graph as the common language.
Mathinmse.github.io
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15
Applied Matematical Methods in Materials Engineering
Warrencowleyparameters
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15
OVITO Python modifier to compute the Warren-Cowley parameters.
Pytopomat
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15
Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.
Twod_materials
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14
High throughput workflow tools for characterizing 2D materials in VASP.
Materials Coord
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13
MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms
Aiida Fleur
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13
Package containing the AiiDA-FLEUR plugin(s) and some workflows for the FLEUR program (www.flapw.de) implementing DFT methods. This is a JuDFT effort see (www.judft.de).
Pytaser
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12
Python package to simulate differential absorption of crystals from first principles
Unlocknn
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11
A Python package for adding uncertainties to neural network models of chemical systems.
Atomai
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11
Deep and machine learning for atomic-scale and mesoscale data
Pumml
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11
Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.
Amlearn
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11
Machine Learning Package Targeted for Amorphous Materials.
Atomisticreversemontecarlo
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10
OVITO Python modifier to generate bulk crystal structures with target Warren-Cowley parameters.
Scheil
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10
A Scheil-Gulliver simulation tool using pycalphad.
Kanapy
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9
Synthetic microstructure generator. Online documentation:
Pycrystal
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9
Utilities for ab initio modeling suite CRYSTAL, developed in Turin University
Mse Machinelearning Notebooks
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8
Machine Learning Introduction for a Material Scientist
Mdtools
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8
Scripts to prepare and analyze molecular dynamics simulations
Jax Xtal
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8
An unofficial jax/haiku implementation of Crystal Graph Convolutional Neural Networks (CGCNN)
Materials.sh
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8
materials.sh
Vasp Tools
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8
A suite of scripts and modules that perform menial, tedious and repetitive tasks and operations on VASP files that were hurriedly and haphazardly put together by some intern.
Metallurgy
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7
Calculates approximate properties of alloy compositions
Curie_calculator
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7
Magnetic critical temperature Calculator
Structuregraph Helpers
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7
Helpers for working with pymatgen structure graphs.
Sitator
⭐
7
Unsupervised landmark analysis for jump detection in molecular dynamics simulations.
Pylattica
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7
A simple framework for prototyping lattice evolution simulations e.g. cellular automata, lattice gas simulations, lattice Monte Carlo etc.
Torch M3gnet
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7
PyTorch/PyG implementation of M3GNet
Maptool
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7
Materials Project Tool : An useful tool for manipulating, analying and visualization input and output of materials simulation codes.
Mpds Client
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6
MPDS API client library in Python
Discover Supercon Nomad Smact
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6
Composition-based predictions for chemically novel, high-temperature superconductors.
Crysxpp
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6
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
Mbtr
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6
A code for calculating MBTR molecule/crystal structure representation. (https://arxiv.org/abs/1704.06439)
Aiida Castep
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6
Interface with AiiDA to automate CASTEP calculations and preserve their provenance.
Learning_modules
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5
A collection of learning modules that I have created, largely with Jupyter notebooks.
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