Machine Learning meets Nuclear Physics

Machine Learning meets Nuclear Physics

Contents

Selected References

Mehta et al. and Physics Reports (2019).
Machine Learning and the Physical Sciences by Carleo et al
Ab initio solution of the many-electron Schrödinger equation with deep neural networks by Pfau et al..
Machine Learning and the Deuteron by Kebble and Rios
Variational Monte Carlo calculations of \( A\le 4 \) nuclei with an artificial neural-network correlator ansatz by Adams et al.
Unsupervised Learning for Identifying Events in Active Target Experiments by Solli et al.
Report from the A.I. For Nuclear Physics Workshop by Bedaque et al.

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