Skip to content
@pkmtum

Professorship of Data-driven Materials Modeling

Popular repositories Loading

  1. Semi-supervised_Invertible_Neural_Operators Semi-supervised_Invertible_Neural_Operators Public

    Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems

    Jupyter Notebook 13 1

  2. generative-physics-informed-pde generative-physics-informed-pde Public

    Generative model employing semi-supervised learning and physical constraints for learning a PDE surrogate.

    Python 9

  3. Physics-enhanced_NN_SmallData Physics-enhanced_NN_SmallData Public

    Physics-enhanced Neural Networks in the Small Data Regime

    Python 3

  4. IncorporatingPhysicalConstraints IncorporatingPhysicalConstraints Public

    Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems

    Jupyter Notebook 2

  5. Probabilistic_Koopman_Learning Probabilistic_Koopman_Learning Public

    Residual Enhanced Probabilistic Koopman-based Representation Learning

    Python 2 1

  6. predictive-cvs predictive-cvs Public

    Predictive collective variable discovery with deep Bayesian models for atomistic systems.

    Python 2 1

Repositories

Showing 10 of 20 repositories
  • pkmtum/Weak-Neural-Variational-Inference’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Nov 8, 2024
  • PANIS Public
    pkmtum/PANIS’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Oct 23, 2024
  • Molecular_Generative_Modeling Public

    The goal of inverse molecular design is the discovery of novel molecular structures that fulfill a set of target properties. In this project we explore the application of generative models and molecular graph representations for the development of solutions to the inverse molecular design problem.

    pkmtum/Molecular_Generative_Modeling’s past year of commit activity
    Jupyter Notebook 1 1 0 0 Updated Jul 3, 2024
  • Semi-supervised_Invertible_Neural_Operators Public

    Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems

    pkmtum/Semi-supervised_Invertible_Neural_Operators’s past year of commit activity
    Jupyter Notebook 13 MIT 1 0 0 Updated May 27, 2024
  • PI_TBNN Public

    Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling. Will be updated upon publication.

    pkmtum/PI_TBNN’s past year of commit activity
    C++ 1 0 1 0 Updated May 22, 2024
  • D3C-UQ Public
    pkmtum/D3C-UQ’s past year of commit activity
    1 MIT 0 0 0 Updated May 22, 2024
  • pkmtum/Semi-supervided_design_microstrctures’s past year of commit activity
    Python 0 0 0 0 Updated Jun 19, 2023
  • Embedded_Physics_MD Public

    Embedded-physics machine learning for coarse-graining and collective variable discovery without data

    pkmtum/Embedded_Physics_MD’s past year of commit activity
    Python 0 0 0 0 Updated Dec 8, 2022
  • cnn-microstructures Public

    Code of Bachelor Thesis: Creating CNNs and evaluating predictions of microstructure properties for different parameters

    pkmtum/cnn-microstructures’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Sep 7, 2022
  • PDE-coarse-grain Public

    A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime

    pkmtum/PDE-coarse-grain’s past year of commit activity
    MATLAB 0 0 0 0 Updated May 20, 2022

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…