Alternatives and similar repositories for Integrating-multiple-materials-science-projects:

Users that are interested in Integrating-multiple-materials-science-projects are comparing it to the libraries listed below

• originofmatter / MatGAN
  Generative deep learning model for inorganic materials
  ☆18Updated last year
• fenning-research-group / PASCAL
  Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.
  ☆15Updated this week
• zhenpengyao / Supramolecular_VAE
  ☆31Updated 4 years ago
• MDIL-SNU / SPINNER
  SPINNER (Structure Prediction of Inorganic crystals using Neural Network potentials with Evolutionary and Random searches)
  ☆12Updated 6 months ago
• sparks-baird / xtal2png
  Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
  ☆36Updated last year
• lrcfmd / ChemDASH
  Chemically Directed Atom Swap Hopping -- Crystal structure prediction by swapping atoms in unfavourable chemical environments
  ☆22Updated last year
• hackingmaterials / materials-coord
  MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms
  ☆17Updated last year
• CitrineInformatics / MPEA_dataset
  Expanded dataset of mechanical properties and observed phases of multi-principal element alloys
  ☆32Updated 2 years ago
• richardjgowers / zeoplusplus
  Mirror of http://zeoplusplus.org/
  ☆8Updated 6 years ago
• tsudalab / MDTS
  Materials Design by Monte Carlo Tree Search
  ☆34Updated 3 years ago
• angeloziletti / ai4materials
  Deep learning for crystal-structure recognition and analysis of atomic structures
  ☆41Updated 11 months ago
• aryandeshwal / BO_of_COFs
  Python code for the paper Bayesian Optimization of Nanoporous Materials.
  ☆21Updated last year
• PKUsamPHTeam / ASPH-Code
  data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…
  ☆18Updated 4 years ago
• sparks-baird / mat_discover
  A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
  ☆39Updated 5 months ago
• materials-data-facility / llm-resources
  ☆20Updated 8 months ago
• kaist-amsg / Synthesizability-PU-CGCNN
  ☆26Updated 2 years ago
• molmd / mispr
  A software for automating materials science computations
  ☆30Updated 6 months ago
• GOMC-WSU / py-MCMD
  This python code creates hybrid MD/MC (NAMD/GOMC) simulations for the NVT, NPT, GCMC, and GEMC-NVT ensembles
  ☆36Updated 3 months ago
• CJBartel / TestStabilityML
  ☆27Updated last year
• s-a-malik / inorg-synth-graph
  Inorganic Reaction Prediction
  ☆12Updated 6 months ago
• TRI-AMDD / piro
  Software for evaluating pareto-optimal synthesis pathways
  ☆26Updated 7 months ago
• CumbyLab / gridrdf
  Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…
  ☆12Updated last year
• itamblyn / scripts
  ☆18Updated 6 years ago
• zishengz / gocia
  Global Optimizer for Clusters, Interfaces, and Adsorbates
  ☆19Updated 2 months ago
• tobacco-mofs / tobacco_1.0
  ☆16Updated 7 years ago
• njszym / ARROWS
  ☆18Updated last year
• SeyedMohamadMoosavi / tools-cp-porousmat
  Heat capacity predictor for porous materials
  ☆13Updated 7 months ago
• jschrier / SynthGPT
  Code and Data for "Large Language Models for Inorganic Synthesis Prediction"
  ☆25Updated 4 months ago
• LL8848 / viscosity_md
  Code for running NEMD simulation on LAMMPS and post-processing the results to compute viscosity
  ☆16Updated 4 years ago
• usnistgov / atomvision
  Deep learning framework for atomistic image data
  ☆30Updated last week