interatomic-potentials
There are 32 repositories under interatomic-potentials topic.
mir-group/nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
JuDFTteam/best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
mir-group/allegro
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
atomicarchitects/equiformer_v2
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
atomicarchitects/equiformer
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
basf/mlipx
Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIPs). It offers a growing set of evaluation methods alongside powerful visualization and comparison tools.
lanl/hippynn
python library for atomistic machine learning
ICAMS/calphy
A Python library and command line interface for automated free energy calculations
uf3/uf3
UF3: a python library for generating ultra-fast interatomic potentials
atomind-ai/mlip-arena
Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics https://openreview.net/forum?id=ysKfIavYQE
openkim/kliff
KIM-based Learning-Integrated Fitting Framework for interatomic potentials.
apax-hub/apax
A flexible and performant framework for training machine learning potentials.
flame-code/FLAME
FLAME: a library for atomistic modeling environments
cesmix-mit/PotentialLearning.jl
PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamics workflows.
sekocha/pypolymlp
Generator of polynomial machine learning potentials
chejunwei2/ParamGULP
Fitting interatomic potential for molecular dynamics
sekocha/lammps-polymlp-package
A user package of LAMMPS software enabling simulations using linearized machine learning potentials
cesmix-mit/AtomisticComposableWorkflows
Provide easy-to-use CESMIX-aligned case studies. Integrate the latest developments of the Julia atomistic ecosystem and state-of-the-art tools.
hghcomphys/pantea
A Python library for developing machine learning interatomic potentials, based on JAX.
sungkwang/MEAM-BO
Modified Embedded Atom Method with Bond Order (MEAM-BO) implementation in LAMMPS
chiang-yuan/muse
A python package for fast building amorphous solids and liquid mixtures from @materialsproject computed structures and machine learning interatomic potentials
JuliaMatSci/ADIP2.jl
Automatic Differentiation of Interatomic Potentials with Phonons in Julia: ADIP².jl
ranndip/project_page
Webpage for RANN interatomic potential
joabron/parallel-nanoalloys
A parallel molecular dynamics simulation algorithm for studying the thermal stability of nanoalloys.
wgst/ml-gas-surface
Instructions and scripts for adaptive sampling for gas-surface dynamics
boyarchenkov/idgpu
Ionic Dynamics on GPU (variant of atomistic simulation for ionic crystals like UO2, CaF2, etc.)
nvpopov/molecular_pes
Сollection of ab initio calculated molecular potential energy surfaces
polyu-kyfung/lammps-lattice-constants-of-diamond-to-3C-SiC
Molecular dynamics simulations to find the lattice parameters of diamond and 3C-SiC lattices at the equilibrium with different interatomic potentials available in LAMMPS
pythonpanda2/psik-workshop-AL-GAP
GAP-AL tutorial for the Psi-k ML-IP 2021 tutorial workshop.
fenggo/ReaxFF-nn
Impliment of the ReaxFF-nn mathine learning potential in the GULP package
stefanbringuier/QuickFitSNAP
An attempt to fit ab-initio materials database (e.g. Materials Project) results to FitSNAP potential.