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benmoseley/README.md

Hi there 👋

I am an Assistant Professor in AI at Imperial College London in the Department of Earth Science and Engineering and lead the Scalable Scientific Machine Learning Lab. Before this I was a Postdoctoral Fellow at the ETH Zürich AI Center, and a ML Team Lead for NASA's Frontier Development Lab.

I'm open to collaboration (or supervising students) on projects involving scientific machine learning / physics-informed machine learning. Check out my FBPINNs repository for our latest work on scalable physics-informed neural networks.

Here's a list of repositories with materials from my AI and SciML workshops, tutorials and lectures.

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  1. FBPINNs FBPINNs Public

    Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

    Python 517 104

  2. harmonic-oscillator-pinn harmonic-oscillator-pinn Public

    Code accompanying my blog post: So, what is a physics-informed neural network?

    Jupyter Notebook 661 179

  3. scalable-pinns-workshop scalable-pinns-workshop Public

    Workshop on designing efficient and scalable physics-informed neural networks with JAX

    Jupyter Notebook 48 6

  4. AISE-2024 AISE-2024 Public

    ETH Zürich AI in the Sciences and Engineering Master's course 2024

    Jupyter Notebook 43 12

  5. intro-to-jax-workshop intro-to-jax-workshop Public

    Introduction to JAX Workshop @ ETH Zurich, 25 June 2024

    Jupyter Notebook 39 2

  6. DLSC-2023 DLSC-2023 Public

    ETH Zürich Deep Learning in Scientific Computing Master's course 2023

    Jupyter Notebook 122 26