Machine Learning-Assisted Hartree–Fock Approach for Energy Level Calculations in the Neutral Ytterbium Atom

Data-driven machine learning approaches with precise predictive capabilities are proposed to address the long-standing challenges in the calculation of complex many-electron atomic systems, including high computational costs and limited accuracy. In this work, we develop a general workflow for machi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Kaichen Ma, Chen Yang, Junyao Zhang, Yunfei Li, Gang Jiang, Junjie Chai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-11-01
coleção:	Entropy
Assuntos:	atomic calculation machine learning energy levels entropy weight method ytterbium
Acesso em linha:	https://www.mdpi.com/1099-4300/26/11/962
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!