Evidence for three-α breathing modes uncovered by control neural network

This work introduces a new Control Neural Network (Ctrl.NN) method to uncover evidence of exotic quantum state, i.e. , the breathing modes in 3- α resonant states of 12 C nucleus. We provide the most precise microscopic description to date for the 12 C energy spectrum, identify two new exotic breathing states, and uncover strong evidence that directly connects the recent experimental observations to the breathing modes. The Ctrl.NN method significantly simplifies numerical calculations of quantum systems under multiple constraints and offers a new perspective for solving the nuclear many-body problem.

Authors

Institutions

Publication Details

Journal
Physics Letters B
Published
2025-03-14
DOI
https://doi.org/10.1016/j.physletb.2025.139397
Citations
5
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
6.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evidence for three-α breathing modes uncovered by control neural network

Niu Wan, Takayuki Myo, H. Toki, Wen‐Long You et al.
5 citations
Physics Letters B
Atomic and Subatomic Physics Research
6.23
article

Evidence for three-α breathing modes uncovered by control neural network

Niu Wan, Takayuki Myo, H. Toki, Wen‐Long You, Zhao Qing, Mengjiao Lyu, Zheng Cheng, Zhongzhou Ren, Mengyun Mao, Hisashi Horiuchi, Hiroki Takemoto, Masahiro Isaka
article en
5 citations

Abstract

This work introduces a new Control Neural Network (Ctrl.NN) method to uncover evidence of exotic quantum state, i.e. , the breathing modes in 3- α resonant states of 12 C nucleus. We provide the most precise microscopic description to date for the 12 C energy spectrum, identify two new exotic breathing states, and uncover strong evidence that directly connects the recent experimental observations to the breathing modes. The Ctrl.NN method significantly simplifies numerical calculations of quantum systems under multiple constraints and offers a new perspective for solving the nuclear many-body problem.

Physics Letters BVol. 864
Tongji University (CN), Ministry of Education of the People's Republic of China (CN), Tokyo Fuji University (JP), Hosei University (JP), Huzhou Normal University (CN), Osaka Institute of Technology (JP), Ministry of Industry and Information Technology (CN), Osaka University of Pharmaceutical Sciences (JP), South China University of Technology (CN), The University of Osaka (JP), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 4%
Atomic and Subatomic Physics Research
6.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.