Alternatives and similar repositories for Awesome-Machine-learning-for-discovery-of-physical-laws:

Users that are interested in Awesome-Machine-learning-for-discovery-of-physical-laws are comparing it to the libraries listed below

• mala-project / mala
  Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
  ☆85Updated last week
• originofmatter / MatGAN
  Generative deep learning model for inorganic materials
  ☆18Updated last year
• learningmatter-mit / Atomistic-Adversarial-Attacks
  Code for performing adversarial attacks on atomistic systems using NN potentials
  ☆34Updated 2 years ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆17Updated 6 years ago
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆35Updated 2 years ago
• williamratcliff / GNN-tutorial-APS-March-2023
  These are the slides associated with the GNN tutorial at the APS March Meeting
  ☆20Updated last year
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆13Updated 4 years ago
• bjmorgan / lattice_mc
  Lattice gas Monte Carlo simulation code
  ☆29Updated 4 years ago
• learningmatter-mit / surface-sampling
  MCMC-based algorithm for sampling surface reconstructions
  ☆23Updated 4 months ago
• vlvovch / PHYS6350-ComputationalPhysics
  Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
  ☆63Updated this week
• Open-Catalyst-Project / AdsorbML
  Corresponding dataset and tools for the AdsorbML manuscript.
  ☆38Updated 8 months ago
• WardLT / applied-ai-for-materials
  Course materials for "Applied AI for Materials Science and Engineering"
  ☆59Updated 2 years ago
• KanHatakeyama / Integrating-multiple-materials-science-projects
  ☆14Updated 2 years ago
• kayahans / qmc-dft-python
  Educational code for Density Functional Theory and Quantum Monte Carlo with Python
  ☆18Updated 5 years ago
• DavidMichaelH / statistical-mechanics-models
  Statistical mechanics models such as random cluster models, random growth models and related processes.
  ☆12Updated last week
• harharkh / sb_desc
  Calculation of the spherical Bessel descriptors for machine learning potentials.
  ☆9Updated 5 years ago
• aryandeshwal / BO_of_COFs
  Python code for the paper Bayesian Optimization of Nanoporous Materials.
  ☆21Updated last year
• a-ws-m / unlockNN
  A Python package for adding uncertainties to neural network models of chemical systems.
  ☆25Updated 2 years ago
• CompRhys / aviary
  The Wren sits on its Roost in the Aviary.
  ☆50Updated this week
• txie-93 / polymernet
  ☆22Updated 2 years ago
• angeloziletti / ai4materials
  Deep learning for crystal-structure recognition and analysis of atomic structures
  ☆41Updated 11 months ago
• janosh / thermo
  Data-driven risk-conscious thermoelectric materials discovery
  ☆15Updated 3 weeks ago
• ClancyLab / NCM2018
  ☆18Updated 4 years ago
• simongravelle / GOMC-inputs
  Input script for Monte Carlo (GCMC) simulations
  ☆16Updated 4 months ago
• zhenpengyao / Supramolecular_VAE
  ☆31Updated 4 years ago
• materialsproject / pyrho
  ☆38Updated this week
• 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
• aromanro / DFTAtom
  Density Functional Theory in real space, for atoms, LDA and LSDA
  ☆27Updated 10 months ago
• sirmarcel / cmlkit
  tools for machine learning in condensed matter physics and quantum chemistry
  ☆34Updated 2 years ago
• argonne-lcf / active-learning-md
  Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Activ…
  ☆27Updated 3 years ago