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    • Neural Network Force Field based on PyTorch
      Jupyter Notebook
      MIT License
      5023720Updated Nov 5, 2024Nov 5, 2024
    • zeobind

      Public
      Jupyter Notebook
      MIT License
      0100Updated Oct 25, 2024Oct 25, 2024
    • Repo for our paper "Learning Ordering in Crystalline Materials with Symmetry-Aware Graph Neural Networks"
      Jupyter Notebook
      MIT License
      2600Updated Sep 24, 2024Sep 24, 2024
    • MCMC-based algorithm for sampling surface reconstructions
      Jupyter Notebook
      MIT License
      42010Updated Sep 9, 2024Sep 9, 2024
    • Autonomously train class 1 and class 2 interatomic potentials for MD using gas-phase DFT training data
      Python
      MIT License
      0400Updated Sep 4, 2024Sep 4, 2024
    • Geodesic interpolation for collective variables
      Jupyter Notebook
      MIT License
      0300Updated Aug 16, 2024Aug 16, 2024
    • Active learning accelerated exploration of the single atom local environments in multimetallic systems for oxygen electrocatalysis
      Python
      0300Updated Aug 9, 2024Aug 9, 2024
    • Repository for predicting conductivities through Arrhenius parameters for polymer electrolytes.
      Python
      MIT License
      71620Updated Jul 29, 2024Jul 29, 2024
    • Alchemical machine learning interatomic potentials
      Jupyter Notebook
      MIT License
      21220Updated May 4, 2024May 4, 2024
    • Repo for our paper "Data-Driven Physics-Informed Descriptors of Cation Ordering in Multicomponent Perovskite Oxides"
      Jupyter Notebook
      MIT License
      2500Updated Apr 30, 2024Apr 30, 2024
    • Segal

      Public
      Jupyter Notebook
      MIT License
      2800Updated Mar 16, 2024Mar 16, 2024
    • GenZProt

      Public
      Python
      32620Updated Mar 3, 2024Mar 3, 2024
    • Downloads USPTO patents and finds molecules related to keyword queries
      Python
      MIT License
      44510Updated Dec 8, 2023Dec 8, 2023
    • Atom-by-atom design of metal oxide catalysts for the oxygen evolution reaction with Machine Learning
      Python
      0900Updated Oct 19, 2023Oct 19, 2023
    • Supplementary repo for our paper "Learning Orderings in Crystalline Materials with Symmetry-Aware Graph Neural Networks"
      Python
      MIT License
      312300Updated Oct 18, 2023Oct 18, 2023
    • ChemArr

      Public
      Chemprop model incorporating the Arrhenius equation at the output to add physics to predictions
      Python
      MIT License
      2600Updated Aug 15, 2023Aug 15, 2023
    • Atomistic Line Graph Neural Network
      Python
      Other
      83000Updated Jul 10, 2023Jul 10, 2023
    • Code for performing adversarial attacks on atomistic systems using NN potentials
      Python
      MIT License
      9300Updated Jun 12, 2023Jun 12, 2023
    • Crystal graph convolutional neural networks for predicting material properties.
      Python
      MIT License
      312100Updated Jun 5, 2023Jun 5, 2023
    • Fork of PaiNN for PerovskiteOrderingGCNNs
      Python
      MIT License
      50100Updated Jun 5, 2023Jun 5, 2023
    • uvvisml

      Public
      Predict optical properties of molecules with machine learning.
      Jupyter Notebook
      MIT License
      82301Updated May 26, 2023May 26, 2023
    • Supplementary repo for our paper "Learning Orderings in Crystalline Materials with Symmetry-Aware Graph Neural Networks"
      Jupyter Notebook
      MIT License
      50000Updated May 11, 2023May 11, 2023
    • Repository for computing the thermal barriers of azobenzene derivatives
      Python
      MIT License
      1500Updated Mar 7, 2023Mar 7, 2023
    • GLAMOUR

      Public
      Graph Learning over Macromolecule Representations
      Jupyter Notebook
      72100Updated Dec 31, 2022Dec 31, 2022
    • Peptide optimization with Machine Learning
      Jupyter Notebook
      246900Updated Dec 9, 2022Dec 9, 2022
    • Code for performing adversarial attacks on atomistic systems using NN potentials
      Python
      MIT License
      93200Updated Oct 3, 2022Oct 3, 2022
    • Tutorial accompanying: Dietschreit, J. C. B. et al., J. Chem. Phys, 2022, "From Free-Energy Profiles to Activation Free Energies"
      Jupyter Notebook
      MIT License
      0200Updated Aug 19, 2022Aug 19, 2022
    • VOID

      Public
      Library to dock molecules in crystal structures, including nanoporous materials
      Python
      MIT License
      7820Updated May 13, 2022May 13, 2022
    • geom

      Public
      GEOM: Energy-annotated molecular conformations
      Jupyter Notebook
      2620420Updated Apr 24, 2022Apr 24, 2022
    • Supplementary repo for our paper "Learning Orderings in Crystalline Materials with Symmetry-Aware Graph Neural Networks"
      Jupyter Notebook
      MIT License
      6000Updated Apr 23, 2022Apr 23, 2022