Alternatives and similar repositories for MSE_Fall2023

Users that are interested in MSE_Fall2023 are comparing it to the libraries listed below

• SergeiVKalinin / MSE_Fall2024
  ☆62Updated 7 months ago
• materialsvirtuallab / nano281
  Data Science for Materials Science
  ☆64Updated last week
• SergeiVKalinin / ML-ElectronMicroscopy-2023
  ☆123Updated last year
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated last year
• aronwalsh / MLforMaterials
  Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)
  ☆84Updated 3 weeks ago
• usnistgov / atomvision
  Deep learning framework for atomistic image data
  ☆35Updated 5 months ago
• CitrineInformatics / MPEA_dataset
  Expanded dataset of mechanical properties and observed phases of multi-principal element alloys
  ☆35Updated 2 years ago
• Kaaiian / Houston_ML_in_MSE_workshop
  Code to help you get started using machine learning in materials science
  ☆17Updated 6 years ago
• computron / pymatgen_tutorials
  Tutorials for using the pymatgen library
  ☆50Updated 3 weeks ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆121Updated last week
• uw-cmg / MAST-ML
  MAterials Simulation Toolkit for Machine Learning (MAST-ML)
  ☆119Updated 2 months ago
• TRI-AMDD / CAMD
  Agent-based sequential learning software for materials discovery
  ☆62Updated last year
• jan-janssen / LangSim
  Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim
  ☆63Updated 8 months ago
• ICAMS / calphy
  A Python library and command line interface for automated free energy calculations
  ☆79Updated this week
• njszym / XRD-AutoAnalyzer
  ☆93Updated 5 months ago
• by256 / icsg3d
  3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
  ☆41Updated 2 years ago
• sp8rks / MaterialsInformatics
  MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!
  ☆149Updated last month
• sparks-baird / mat_discover
  A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
  ☆44Updated 10 months ago
• datalab-org / datalab
  datalab is a place to store experimental data and the connections between them.
  ☆64Updated this week
• MaterSim / PyXtal_FF
  Machine Learning Interatomic Potential Predictions
  ☆90Updated last year
• pyscal / pyscal
  Python library written in C++ for calculation of local atomic structural environment
  ☆62Updated 9 months ago
• JARVIS-Materials-Design / jarvis-tools-notebooks
  A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/
  ☆86Updated last month
• JaGeo / LobsterPy
  Package to perform automatic bonding analysis with the program Lobster in the field of computational materials science and quantum chemis…
  ☆96Updated last week
• USCCACS / ThermalTools
  LAMMPS plugins for thermal conductivity and density of states calculation
  ☆46Updated 6 years ago
• dd-debug / synthesis_planning_algorithm
  A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.
  ☆19Updated 10 months ago
• materialsproject / workshop
  The Materials Project Workshop Curriculum
  ☆116Updated 2 years ago
• SMTG-Bham / doped
  doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defec…
  ☆192Updated this week
• lammpstutorials / lammpstutorials-inputs
  LAMMPS input from lammpstutorials.github.io
  ☆42Updated 2 months ago
• WardLT / applied-ai-for-materials
  Course materials for "Applied AI for Materials Science and Engineering"
  ☆64Updated 3 years ago
• bjmorgan / kinisi
  A Python package for estimating diffusion properties from molecular dynamics simulations.
  ☆69Updated last week