Machine learning Lie structures & applications to physics

Heng‐Yu Chen

doi:10.1016/j.physletb.2021.136297

Machine learning Lie structures & applications to physics

2021-06-01

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DOI：10.1016/j.physletb.2021.136297

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Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems. In this letter we show how the computation of tensor products and branching rules of irreducible representations is machine-learnable, and can achieve relative speed-ups of orders of magnitude in comparison to the non-ML algorithms. (C) 2021 The Author(s). Published by Elsevier B.V.

Machine learning Lie structures & applications to physics

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