Machine learning the single-Λ hypernuclei with neural-network quantum states

A thorough description of baryonic system beyond first-generation quark sector is indispensable for the maturation of nuclear ab initio methods. This study pioneers the application of neural-network quantum states to hypernuclei, with trainable parameters determined by variational Monte Carlo approa...

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Autori principali:	Zi-Xiao Zhang, Yi-Long Yang, Wan-Bing He, Peng-Wei Zhao, Bing-Nan Lu, Yu-Gang Ma
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-03-01
Serie:	Physics Letters B
Soggetti:	Neural-network quantum states Single-Λ hypernuclei Pionless effective field theory Machine learning
Accesso online:	http://www.sciencedirect.com/science/article/pii/S0370269326001395
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