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Machine Learning in Physics Overview by benjamin.young.shaoping is a document available to read on EtoBox.

What is Machine Learning in Physics Overview about?

This article introduces a special issue on the interplay between machine learning (ML) and physics, exploring how ML can advance physics research and vice versa. It highlights significant developments, particularly in protein folding through AlphaFold, and discusses the evolution of computational power and ML techniques that have enabled these advancements. The article also raises questions about the future of ML in physics, including its potential to discover new equations from data.

Author

benjamin.young.shaoping

Language

EN