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@csml-rpi

Computational Scientific Machine Learning Lab (CSML)

We are a group working on computational science and scientific machine learning

🙋‍♀️ Welcome to the Computational Scientific Machine Learning Lab (CSML)

We are a research group from the Department of Mechanical, Aerospace, and Nuclear Engineering at RPI. This website is our base on the internet. For information about what we are doing, please go here.

😎 What’s our mission?

  • ✅ Our mission is to pioneer advanced modeling and simulations in Mechanical and Aerospace Engineering by harnessing the power of scientific machine learning.

✴️ What are our interests?

  • Scientific machine learning for large-scale nonlinear systems
  • Operator-theoretic modeling and control of fluid flows
  • Generative AI for physical systems

☣️ For lab members

Popular repositories Loading

  1. Foam-Agent Foam-Agent Public

    Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.

    Python 63 14

  2. FoamGPT FoamGPT Public

    Paper: https://arxiv.org/pdf/2505.04997

    Python 3 2

  3. stirk stirk Public

    We propose a novel learning framework for Koopman operator of nonlinear dynamical systems that is informed by the governing equation and guarantees long-time stability and robustness to noise.

    Python 2

  4. deep-ae-with-svd-convergence deep-ae-with-svd-convergence Public

    Python 1

  5. .github .github Public

    Welcome to our research group on scientific machine learning at RPI.

Repositories

Showing 5 of 5 repositories
  • Foam-Agent Public

    Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.

    csml-rpi/Foam-Agent’s past year of commit activity
    Python 63 MIT 14 3 0 Updated Jan 2, 2026
  • csml-rpi/FoamGPT’s past year of commit activity
    Python 3 2 0 0 Updated Nov 19, 2025
  • csml-rpi/deep-ae-with-svd-convergence’s past year of commit activity
    Python 1 0 0 0 Updated Jul 11, 2025
  • .github Public

    Welcome to our research group on scientific machine learning at RPI.

    csml-rpi/.github’s past year of commit activity
    0 0 0 0 Updated May 18, 2025
  • stirk Public

    We propose a novel learning framework for Koopman operator of nonlinear dynamical systems that is informed by the governing equation and guarantees long-time stability and robustness to noise.

    csml-rpi/stirk’s past year of commit activity
    Python 2 0 0 0 Updated Aug 23, 2024

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