nequipNequIP is a code for building E(3)-equivariant interatomic potentials
Stars: ✭ 312 (+1542.11%)
calphyA Python library and command line interface for automated free energy calculations
Stars: ✭ 28 (+47.37%)
tinker9Tinker9: Next Generation of Tinker with GPU Support
Stars: ✭ 31 (+63.16%)
tinkerTinker: Software Tools for Molecular Design
Stars: ✭ 79 (+315.79%)
pymicroA Python package to work with material microstructures and 3d data sets
Stars: ✭ 28 (+47.37%)
DMFTwDFTDMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various Density Functional Theory packages
Stars: ✭ 39 (+105.26%)
mddatasetbuilderA script to build reference datasets for training neural network potentials from given LAMMPS trajectories.
Stars: ✭ 23 (+21.05%)
mdgradPytorch differentiable molecular dynamics
Stars: ✭ 127 (+568.42%)
OpenMaterial3D model exchange format with physical material properties for virtual development, test and validation of automated driving.
Stars: ✭ 23 (+21.05%)
hipercHigh Performance Computing Strategies for Boundary Value Problems
Stars: ✭ 36 (+89.47%)
foyerA package for atom-typing as well as applying and disseminating forcefields
Stars: ✭ 78 (+310.53%)
senpaiMolecular dynamics simulation software
Stars: ✭ 124 (+552.63%)
pyljTeaching Utility for Classical Atomistic Simulation.
Stars: ✭ 23 (+21.05%)
masci-toolsTools, utility, parsers useful in daily material science work
Stars: ✭ 18 (-5.26%)
contact mapContact map analysis for biomolecules; based on MDTraj
Stars: ✭ 27 (+42.11%)
openmm-tutorialsQuickstart Python tutorials helping molecular dynamics practitioners get up to speed with OpenMM
Stars: ✭ 37 (+94.74%)
tdmmsTwo-dimensional materials manufacturing system
Stars: ✭ 17 (-10.53%)
QCxMSQuantum mechanic mass spectrometry calculation program
Stars: ✭ 25 (+31.58%)
fahbenchFolding@home GPU benchmark
Stars: ✭ 32 (+68.42%)
Pyemma🚂 Python API for Emma's Markov Model Algorithms 🚂
Stars: ✭ 200 (+952.63%)
Plumed2Development version of plumed 2
Stars: ✭ 178 (+836.84%)
SCEMaHMM implementation featuring Deal.II (FE) and LAMMPS (MD)
Stars: ✭ 14 (-26.32%)
ai4materialsDeep learning for crystal-structure recognition and analysis of atomic structures
Stars: ✭ 26 (+36.84%)
VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
Stars: ✭ 148 (+678.95%)
Openff ToolkitThe Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io
Stars: ✭ 138 (+626.32%)
phoebeA high-performance framework for solving phonon and electron Boltzmann equations
Stars: ✭ 33 (+73.68%)
ensparaModeling molecular ensembles with scalable data structures and parallel computing
Stars: ✭ 28 (+47.37%)
votcaThe source of the votca-csg and xtp packages
Stars: ✭ 28 (+47.37%)
CrabNetPredict materials properties using only the composition information!
Stars: ✭ 57 (+200%)
thermo pwThermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
Stars: ✭ 34 (+78.95%)
MolDQN-pytorchA PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Stars: ✭ 58 (+205.26%)
NNPOpsHigh-performance operations for neural network potentials
Stars: ✭ 48 (+152.63%)
ESPEIFitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
Stars: ✭ 46 (+142.11%)
libra-codequantum-dynamics-hub.github.io/libra/index.html
Stars: ✭ 33 (+73.68%)
fftoolTool to build force field input files for molecular simulation.
Stars: ✭ 84 (+342.11%)
ONCVPseudoPackCollection of ONCVPSP pseudopotentials for density-functional theory calculations
Stars: ✭ 6 (-68.42%)
atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (+305.26%)
atomate2atomate2 is a library of computational materials science workflows
Stars: ✭ 67 (+252.63%)
tildeMaterials informatics framework for ab initio data repositories
Stars: ✭ 19 (+0%)
TensormolTensorflow + Molecules = TensorMol
Stars: ✭ 226 (+1089.47%)
sGDMLsGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
Stars: ✭ 86 (+352.63%)
ChemlabThe chemistry library you were waiting for
Stars: ✭ 187 (+884.21%)
SMACTPython package to aid materials design
Stars: ✭ 46 (+142.11%)
Pyironpyiron - an integrated development environment (IDE) for computational materials science.
Stars: ✭ 153 (+705.26%)
data-resources-for-materials-scienceA list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Stars: ✭ 81 (+326.32%)
Hoomd BlueMolecular dynamics and Monte Carlo soft matter simulation on GPUs.
Stars: ✭ 143 (+652.63%)
packmolPackmol - Initial configurations for molecular dynamics simulations
Stars: ✭ 118 (+521.05%)
EspressoThe ESPResSo package
Stars: ✭ 130 (+584.21%)
MDBenchmarkQuickly generate, start and analyze benchmarks for molecular dynamics simulations.
Stars: ✭ 64 (+236.84%)
LumolUniversal extensible molecular simulation engine
Stars: ✭ 120 (+531.58%)
CellListMap.jlFlexible implementation of cell lists to map the calculations of particle-pair dependent functions, such as forces, energies, neighbour lists, etc.
Stars: ✭ 62 (+226.32%)
AboriaEnables computations over a set of particles in N-dimensional space
Stars: ✭ 83 (+336.84%)
MDToolbox.jlMDToolbox.jl: A Julia package for molecular dynamics trajectories analysis and modeling of biomolecules
Stars: ✭ 15 (-21.05%)
covidMolSSI SARS-CoV-2 Biomolecular Simulation Data and Algorithm Store
Stars: ✭ 24 (+26.32%)