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Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics

Fuente: arXiv

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Bibliographic Details
Main Authors:	Aarts, Gert, Fukushima, Kenji, Hatsuda, Tetsuo, Ipp, Andreas, Shi, Shuzhe, Wang, Lingxiao, Zhou, Kai
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Lattice Machine Learning High Energy Physics - Phenomenology Nuclear Theory
Online Access:	Acceder al recurso
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