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benmoseley/README.md

Hi there 👋

I am a Postdoctoral Fellow at the ETH Zürich AI Center and member of the ETH Zürich Computational and Applied Mathematics Lab. My research focuses on developing scientific machine learning algorithms that can scale to solve real-world problems. Check out my website / blog and LinkedIn profile for more. I am also a ML Team Lead for NASA's Frontier Development Lab.

I'm open to collaboration 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.

Pinned

  1. FBPINNs FBPINNs Public

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

    Python 226 50

  2. DLSC-2023 DLSC-2023 Public

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

    Jupyter Notebook 75 14

  3. harmonic-oscillator-pinn harmonic-oscillator-pinn Public

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

    Jupyter Notebook 494 138

  4. AISE-2024 AISE-2024 Public

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

    Jupyter Notebook 9

  5. harmonic-oscillator-pinn-workshop harmonic-oscillator-pinn-workshop Public

    Introductory workshop on PINNs using the harmonic oscillator

    Jupyter Notebook 51 23

  6. seismic-simulation-complex-media seismic-simulation-complex-media Public

    This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

    Jupyter Notebook 39 19