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Physics-Informed Neural Networks course project. For Quantum Eigenvalue problems.

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Physics-Informed Neural Networks for Quantum Eigenvalue Problems

This repository contains code for the reproduction of some of the experiments in this paper with the same name.

The major improvement is the use of L-BFGS instead of Adam, which showed to work better in the "Physics-Informed Neural Network" setting.

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The repo code for the reproductions of the paper mentioned above is available under submission/extension_task. Whereas the in the directory submission/base_task contains code for slightly less difficult problems.

The file submission/report.pdf contains a description of the report, mainly created as a submission for the course Deep Learning in Scientific computing at ETH Zurich.

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Physics-Informed Neural Networks course project. For Quantum Eigenvalue problems.

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