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Welcome to Hands-on Scientific Machine Learning!

Welcome to Hands-on Scientific Machine Learning!#

Style#

In this interactive book, you will learn the state-of-the-art deep learning methods for solving various challenging scientific and engineering problems. Each interactive hands-on tutorial will include code, visualization, and youtube video for paper and implementation. You can also directly run all toturials in Colab or your local computers.

Scope#

The scope of this book is to explore how different scientific machine learning was proposed instead of solely telling you how to use different methods. This is because our ultimate goal is to develop new algorithms that can solve problems and transform the world. We will always face different and new problems that we have never seen. It is important to hone ourself to re-discover these milestone methods and have hands-on experience for them.

Table of Contents#

Part 1. Fourier Neural Operator

Part 2. DeepONet (To be updated)

Part 3. Physics-Informed Neural Networks (To be updated)

Part 4. U-Net (To be updated)

References

Discord Community#

I created a discord channel for people with similar interests to discuss in depth. The discord channel can be found here.

Contact#

If you are also interested in this field, please feel free to contact me by sending an email to xiaoyuxie2020@u.northwestern.edu.

Citation#

If you find this book helpful, please cite it:

@book{xie2024sml,
  title={Hands-on Scientific Machine Learning},
  author={Xiaoyu Xie},
  url={https://xiaoyuxie.top/Sci-ML-Book},
  year={2024},
  publisher={WWW}
}
Contents