Alternatives and similar repositories for SuperalloyDigger

Users that are interested in SuperalloyDigger are comparing it to the libraries listed below

• ruihwang / MOF-CGCNN
  We developed a novel method, MOF-CGCNN, to efficiently and accurately predict the methane the volumetric uptakes at 65 bar for MOFs. Two …
  ☆21Updated 4 years ago
• sbanik2 / CEGANN
  Crystal Edge Graph Attention Neural Network
  ☆23Updated last year
• tobacco-mofs / tobacco_3.0
  ☆67Updated 4 years ago
• danieleongari / CURATED-COFs
  Clean, Uniform and Refined with Automatic Tracking from Experimental Database (CURATED) COFs
  ☆44Updated 2 years ago
• vxfung / MatDeepLearn_DOS
  MatDeepLearn for DOS prediction
  ☆26Updated 3 years ago
• DCoupry / autografs
  Python library for generation of MOFs, COFs, Zeolites...
  ☆33Updated last month
• simonverret / materials_data_api_scripts
  scripts to load all data from ICSD, Materials Project, and OQMD
  ☆68Updated 3 years ago
• snurr-group / mofid
  A system for rapid identification and analysis of metal-organic frameworks
  ☆68Updated last month
• Sangwon91 / PORMAKE
  Python library for the construction of porous materials using topology and building blocks.
  ☆80Updated 7 months ago
• PV-Lab / FTCP
  FTCP code
  ☆36Updated 2 years ago
• tongzhugroup / mddatasetbuilder
  A script to build reference datasets for training neural network potentials from given LAMMPS trajectories.
  ☆41Updated last week
• lipelopesoliveira / pyCOFBuilder
  A package for Covalent Organic Frameworks structure assembly based on specific building block, topology and functional groups based on th…
  ☆60Updated 3 months ago
• njszym / XRD-AutoAnalyzer
  ☆113Updated 5 months ago
• CederGroupHub / s4
  Solid-state synthesis science analyzer. Thermo, features, ML, and more.
  ☆26Updated 3 years ago
• Tsotsalas-Group / MOF_Literature_Extraction
  ☆31Updated 4 years ago
• deepmaterials / dlmatreview
  Repository for links to software packages and databases used in deep-learning applications for materials science
  ☆150Updated 8 months ago
• usccolumbia / AlphaCrystal
  AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction
  ☆10Updated 2 years ago
• hspark1212 / MOFTransformer
  Universal Transfer Learning in Porous Materials, including MOFs.
  ☆114Updated last year
• atomisticnet / tools-and-data
  A collection of tools and databases for atomistic machine learning
  ☆48Updated 4 years ago
• chenggroup / ai2-kit
  A command line and python toolkit featured artificial intelligence × ab initio for complex chemistry systems research.
  ☆85Updated last week
• Andrew-S-Rosen / QMOF
  The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.
  ☆158Updated 2 months ago
• CederGroupHub / text-mined-synthesis_public
  Codes for text-mined solid-state reactions dataset
  ☆91Updated 2 years ago
• Yeonghun1675 / L2M3
  Large Language Models Material Miner
  ☆51Updated 11 months ago
• kaist-amsg / Synthesizability-PU-CGCNN
  ☆35Updated 3 years ago
• uowoolab / MEPO-ML
  A graph attention network based model for predicting atomic partial charges in metal-organic frameworks.
  ☆13Updated 4 months ago
• core-cof / CoRE-COF-Database
  ☆66Updated last year
• BingqingCheng / TiO2-water
  ☆10Updated 2 years ago
• orlandoacevedo / IL
  Ionic liquid force field parameters (OPLS-2009IL and OPLS-VSIL)
  ☆73Updated last year
• lalaheihaihei / catalyticLAM
  Machine-Learning-Based Interatomic Potentials for Catalysis: an Universal Catalytic Large Atomic Model
  ☆50Updated 2 months ago
• autoatml / autoplex
  Code for automated fitting of machine learned interatomic potentials.
  ☆133Updated last week