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...

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書誌詳細

主要な著者:	Kaichen Ma, Chen Yang, Junyao Zhang, Yunfei Li, Gang Jiang, Junjie Chai
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-11-01
シリーズ:	Entropy
主題:	atomic calculation machine learning energy levels entropy weight method ytterbium
オンライン･アクセス:	https://www.mdpi.com/1099-4300/26/11/962
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