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<CEAD,P>=X

It represents our vision that when techniques within Computational Engineering Analysis and Design (CEAD) are applied to the problem (P), it can transform the problem and give us the desired solution (X).

This organization and space will share the ongoing work in developing new analysis and design algorithms, as well as computational methods, to solve key engineering problems. Our lab aims to integrate traditional computational methods with neural networks, with a special focus on the accuracy and error control.

Website: https://ceadpx.github.io/

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  1. neural_operators neural_operators Public

    Work-in-progress

    Jupyter Notebook 13 7

  2. top_optim top_optim Public

    Python 4 2

  3. multiphysics-peridynamics multiphysics-peridynamics Public

    C++ 2

  4. fenics-demo fenics-demo Public

    Jupyter Notebook 4

Repositories

Showing 7 of 7 repositories
  • fenics-demo Public
    CEADpx/fenics-demo’s past year of commit activity
    Jupyter Notebook 0 4 0 0 Updated Mar 31, 2026
  • ceadpx.github.io Public

    Website of the group

    CEADpx/ceadpx.github.io’s past year of commit activity
    HTML 0 0 0 0 Updated Mar 16, 2026
  • CEADpx/ceadpx-website’s past year of commit activity
    TeX 0 MIT 0 0 0 Updated Mar 16, 2026
  • CEADpx/multiphysics-peridynamics’s past year of commit activity
    C++ 0 MIT 2 0 0 Updated Jul 23, 2025
  • top_optim Public
    CEADpx/top_optim’s past year of commit activity
    Python 4 2 0 0 Updated Jul 22, 2025
  • .github Public
    CEADpx/.github’s past year of commit activity
    0 0 0 0 Updated Jul 22, 2025
  • neural_operators Public

    Work-in-progress

    CEADpx/neural_operators’s past year of commit activity
    Jupyter Notebook 13 BSL-1.0 7 0 0 Updated Mar 12, 2025

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