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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 7 5

  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 2

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