phasefield-precipitate-agingPhase field model for precipitate aging in ternary analogues to Ni-based superalloys
Stars: ✭ 19 (-24%)
Mutual labels: materials-science, phase-field
hipercHigh Performance Computing Strategies for Boundary Value Problems
Stars: ✭ 36 (+44%)
Mutual labels: materials-science, phase-field
atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (+208%)
Mutual labels: materials-science
snapRepository for spectral neighbor analysis potential (SNAP) model development.
Stars: ✭ 27 (+8%)
Mutual labels: materials-science
matador⚗️ matador is an aggregator, manipulator and runner of first-principles calculations, written with a bent towards battery 🔋 electrode materials.
Stars: ✭ 23 (-8%)
Mutual labels: materials-science
pytopomatPython Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.
Stars: ✭ 19 (-24%)
Mutual labels: materials-science
tdmmsTwo-dimensional materials manufacturing system
Stars: ✭ 17 (-32%)
Mutual labels: materials-science
olympusOlympus: a benchmarking framework for noisy optimization and experiment planning
Stars: ✭ 38 (+52%)
Mutual labels: materials-science
chemiscopeAn interactive structure/property explorer for materials and molecules
Stars: ✭ 41 (+64%)
Mutual labels: materials-science
pyGAPSA framework for processing adsorption data and isotherm fitting
Stars: ✭ 36 (+44%)
Mutual labels: materials-science
CatKitGeneral purpose tools for high-throughput catalysis
Stars: ✭ 48 (+92%)
Mutual labels: materials-science
RHEOS.jlRHEOS - Open Source Rheology data analysis software
Stars: ✭ 23 (-8%)
Mutual labels: materials-science
uf3UF3: a python library for generating ultra-fast interatomic potentials
Stars: ✭ 19 (-24%)
Mutual labels: materials-science
aiida-vaspA plugin to AiiDA for running simulations with VASP
Stars: ✭ 32 (+28%)
Mutual labels: materials-science
thermo pwThermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
Stars: ✭ 34 (+36%)
Mutual labels: materials-science
jekyll-skeletonScaffolding to start with a Jekyll website
Stars: ✭ 27 (+8%)
Mutual labels: jekyll-website
mamlPython for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Stars: ✭ 174 (+596%)
Mutual labels: materials-science
event-jekyll-themeJekyll Theme package for your event
Stars: ✭ 119 (+376%)
Mutual labels: jekyll-website