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dlmatreview

This repository contains links to software packages and databases used in deep-learning applications for materials science and engineering. If you would like to contribute similar repositories/packages, please fork this repository, add the information in the current format and make a pull request to this repository. We welcome your contributions!

Citation

https://www.nature.com/articles/s41524-022-00734-6

Atomistic databases and software packages

Database name Datasize Web
QM9 134k http://quantum-machine.org/datasets/
ANI 20 mil https://github.com/isayev/ANI1 dataset
MD17 1mil http://quantum-machine.org/datasets/#md-datasets
Tox21 760k https://tox21.gov/resources/
CCCBDB 2069 https://cccbdb.nist.gov/
HOPV15 350 https://doi.org/10.6084/m9.figshare.1610063
C2DB 4000 https://cmr.fysik.dtu.dk/c2db/c2db.html
FreeSolv 504 https://github.com/MobleyLab/FreeSolv
MP 144k https://materialsproject.org/
OQMD 816k http://oqmd.org/
AFLOW 3.5 mil http://www.aflowlib.org/
JARVIS-DFT 56k https://jarvis.nist.gov/jarvisdft/
JARVIS-FF 2.5k https://jarvis.nist.gov/jarvisff/
NOMAD 11 mil https://nomad-lab.eu/prod/rae/gui/search
MCloud 22mil https://www.materialscloud.org/home#statistics
CoreMOF 163k https://mof.tech.northwestern.edu/
QMOF 22k https://github.com/arosen93/QMOF
PDB 183k https://www.rcsb.org/
PDBBind 23k http://www.pdbbind.org.cn/
MOAD 39k http://www.bindingmoad.org/

Software packages

Modelname Applications Web
ALIGNN Mol,Sol https://github.com/usnistgov/alignn
SchNetPack Mol,Sol https://github.com/atomistic-machine-learning/schnetpack
CGCNN Sol https://github.com/txie-93/cgcnn
MEGNet Mol,Sol https://github.com/materialsvirtuallab/megnet
DimeNet Mol https://github.com/klicperajo/dimenet
MPNN Mol https://github.com/priba/nmpqc
ANI Mol https://github.com/isayev/ASEANI
Amp Sol https://bitbucket.org/andrewpeterson/amp
TensorMol Mol https://github.com/jparkhill/TensorMol
PROPhet Sol https://github.com/biklooost/PROPhet
DeepMD Mol https://github.com/deepmodeling/deepmd-kit
ænet Sol https://github.com/atomisticnet/aenet
E3NN Mol https://github.com/e3nn/e3nn
neural-fingerprint Mol https://github.com/HIPS/neural-fingerprint
DeepChemStable Mol https://github.com/MingCPU/DeepChemStable
MoleculeNet Mol,Sol https://github.com/deepchem/deepchem
dgl-lifesci Prot https://github.com/awslabs/dgl-lifesci
gnina Prot https://github.com/gnina/gnina

Chemicalformula

Modelname Web
MatMiner https://github.com/hackingmaterials/matminer
MagPie https://bitbucket.org/wolverton/magpie
DScribe https://github.com/SINGROUP/dscribe
ElemNet https://github.com/NU-CUCIS/ElemNet
IRNet https://github.com/NU-CUCIS/IRNet
Roost https://github.com/CompRhys/roost
CrabNet https://github.com/anthony-wang/CrabNet
CFID-Chem https://github.com/usnistgov/jarvis/
Atom2vec https://github.com/idocx/Atom2Vec

SMILES and fragments

Software name Web
DeepSMILES https://github.com/baoilleach/deepsmiles
ChemicalVAE https://github.com/aspuru-guzik-group/chemicalvae
CVAE https://github.com/jaechanglim/CVAE
DeepChem https://github.com/deepchem/deepchem
DeepFRAG https://git.durrantlab.pitt.edu/jdurrant/deepfrag/
DeepFRAG-k https://github.com/yaohangli/DeepFragK/

Spectra based

DBname Datasize Web
MPXAS-DB 490k https://materialsproject.org/
JVDielec.func. 16k http://jarvis.nist.gov/jarvisdft
JVInfrared 5k http://jarvis.nist.gov/jarvisdft
RRUFF 3527 https://rruff.info
ICDDXRD 1076439 https://www.icdd.com/pdf-product-summary/
ICSDXRD 150000 https://icsd.nist.gov/
MPXRD 140000 https://materialsproject.org/
JVXRD 60000 https://jarvis.nist.gov/jarvisdft/
Ramanopendb 1133 https://solsa.crystallography.net/rod/index.php
Chem.WebBook 1133 https://webbook.nist.gov/chemistry/
SDBS 34600 http://sdbs.riodb.aist.go.jp/sdbs/cgi-bin/creindex.cgi
NMRShiftDB 44371 https://nmrshiftdb.nmr.uni-koeln.de/
SpectraBase ? https://spectrabase.com/
SOPspectrallib. 325 https://soprano.kikirpa.be/index.php?lib=sop
HTEM 140000 https://htem.nrel.gov/
CRD 5099 https://ramandb.oulu.fi/
Softwarename Applications Webpage
DOSNet Sol https://github.com/vxfung/DOSnet
PCA-CGCNN Sol https://github.com/kihoon-bang/PCA-CGCNN
autoXRD Sol https://github.com/PV-Lab/autoXRD

Image based

DB Name Link
JARVIS-STM https://jarvis.nist.gov/jarvisstm
atomagined https://github.com/MaterialEyes/atomagined
deep damage https://git.rwth-aachen.de/Sandra.Korte.Kerzel/DeepDamage/
NanoSEM https://doi.org/10.1038/sdata.2018.172
UHCSDB http://hdl.handle.net/11256/940
UHCS microconst. DB http://hdl.handle.net/11256/964
SmBFO https://drive.google.com/
Diranet https://github.com/arturluis/diranet
Peregrine v2021-03 https://doi.org/10.13139/ORNLNCCS/1779073
Microscopy Datasets https://github.com/Je�rey-Ede/datasets/wiki
Software packages
Package Name Link
PyCroscopy https://github.com/pycroscopy/pycroscopy
Prismatic https://github.com/prism-em/prismatic
py4DSTEM https://github.com/py4dstem/py4DSTEM
abTEM https://github.com/jacobjma/abTEM
QSTEM https://github.com/QSTEM/QSTEM
MuSTEM https://github.com/HamishGBrown/MuSTEM
AICrystallographer https://github.com/pycroscopy/AICrystallographer
AtomAI https://github.com/pycroscopy/atomai
NionSwift https://github.com/nion-software/nionswift
EENCM https://github.com/ceright1/Prediction-material-property
DefectSegNet https://github.com/rajatsainju/DefectSegNet
AMPIS https://github.com/rccohn/AMPIS
partial-STEM https://github.com/Jefrey-Ede/partial-STEM/tree/1.0.0
ZeroCostDL4Mic https://github.com/HenriquesLab/ZeroCostDL4Mic

NLP

Softwarename Link
Borges https://github.com/CederGroupHub/Borges
ChemDataExtractor http://chemdataextractor.org
ChemicalTagger https://github.com/BlueObelisk/chemicaltagger
ChemListem https://bitbucket.org/rscapplications/chemlistem/
ChemSpot https://github.com/rockt/ChemSpot
LBNLP https://github.com/lbnlp/lbnlp
mat2vec https://github.com/materialsintelligence/mat2vec
MaterialsParser https://github.com/CederGroupHub/MaterialParser
OSCAR4 https://github.com/BlueObelisk/oscar4
SynthesisProject https://www.synthesisproject.org
tmChem https://www.ncbi.nlm.nih.gov/research/bionlp/Tools/tmchem/

Seel also: https://github.com/JuDFTteam/best-of-atomistic-machine-learning/