Work

Study of yrast and yrare low-lying excited states using machine learning approaches*

Year: 2025

Type: article

Source: Chinese Physics C

DOI: 10.1088/1674-1137/adfe54

Authors: Zhi Long 志龙 Li 李, Bing Feng 冰锋 Lv 吕, Yong Jia 永佳 Wang 王, C. M. Petrache

Institutions: Centre National de la Recherche Scientifique, Université Paris-Saclay, Institut National de Physique Nucléaire et de Physique des Particules, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie

Language: English

Topic: Nuclear physics research studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G5378139879, G6494160312

OpenAlex ID: W4413436824

FWCI: 1.894

Cites: 70

Cited by: 4

Related to: 10