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 12C nucleus. We provide the most precise microscopic description to date for the 12C energy spectrum, identify two new exotic breathing...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Physics Letters B |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0370269325001571 |
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| _version_ | 1850183111055245312 |
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| author | Zheng Cheng Mengjiao Lyu Takayuki Myo Hisashi Horiuchi Hiroshi Toki Zhongzhou Ren Masahiro Isaka Mengyun Mao Hiroki Takemoto Niu Wan Wenlong You Qing Zhao |
| author_facet | Zheng Cheng Mengjiao Lyu Takayuki Myo Hisashi Horiuchi Hiroshi Toki Zhongzhou Ren Masahiro Isaka Mengyun Mao Hiroki Takemoto Niu Wan Wenlong You Qing Zhao |
| author_sort | Zheng Cheng |
| collection | DOAJ |
| description | 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 12C nucleus. We provide the most precise microscopic description to date for the 12C 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. |
| format | Article |
| id | doaj-art-878ddcbc987b46f4aea78ea13c2ae2d9 |
| institution | OA Journals |
| issn | 0370-2693 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics Letters B |
| spelling | doaj-art-878ddcbc987b46f4aea78ea13c2ae2d92025-08-20T02:17:26ZengElsevierPhysics Letters B0370-26932025-05-0186413939710.1016/j.physletb.2025.139397Evidence for three-α breathing modes uncovered by control neural networkZheng Cheng0Mengjiao Lyu1Takayuki Myo2Hisashi Horiuchi3Hiroshi Toki4Zhongzhou Ren5Masahiro Isaka6Mengyun Mao7Hiroki Takemoto8Niu Wan9Wenlong You10Qing Zhao11College of Physics, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China; Key Laboratory of Aerospace Information Materials and Physics (NUAA), MIIT, 211106, Nanjing, ChinaCollege of Physics, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China; Key Laboratory of Aerospace Information Materials and Physics (NUAA), MIIT, 211106, Nanjing, China; Corresponding author at: College of Physics, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China.General Education, Faculty of Engineering, Osaka Institute of Technology, 535-8585, Osaka, Japan; Research Center for Nuclear Physics (RCNP), Osaka University, 567-0047, Osaka, JapanResearch Center for Nuclear Physics (RCNP), Osaka University, 567-0047, Osaka, JapanResearch Center for Nuclear Physics (RCNP), Osaka University, 567-0047, Osaka, JapanSchool of Physics Science and Engineering, Tongji University, 200092, Shanghai, China; Key Laboratory of Advanced Micro-Structure Materials, Ministry of Education, 200092, Shanghai, ChinaHosei University, 2-17-1 Fujimi, Chiyoda-ku, 102-8160, Tokyo, JapanCollege of Physics, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China; Key Laboratory of Aerospace Information Materials and Physics (NUAA), MIIT, 211106, Nanjing, ChinaFaculty of Pharmacy, Osaka Medical and Pharmaceutical University, 569-1094, Takatsuki, Osaka, JapanSchool of Physics and Optoelectronics, South China University of Technology, 510641, Guangzhou, ChinaCollege of Physics, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China; Key Laboratory of Aerospace Information Materials and Physics (NUAA), MIIT, 211106, Nanjing, ChinaSchool of Science, Huzhou University, 313000, Huzhou, ChinaThis 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 12C nucleus. We provide the most precise microscopic description to date for the 12C 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.http://www.sciencedirect.com/science/article/pii/S0370269325001571 |
| spellingShingle | Zheng Cheng Mengjiao Lyu Takayuki Myo Hisashi Horiuchi Hiroshi Toki Zhongzhou Ren Masahiro Isaka Mengyun Mao Hiroki Takemoto Niu Wan Wenlong You Qing Zhao Evidence for three-α breathing modes uncovered by control neural network Physics Letters B |
| title | Evidence for three-α breathing modes uncovered by control neural network |
| title_full | Evidence for three-α breathing modes uncovered by control neural network |
| title_fullStr | Evidence for three-α breathing modes uncovered by control neural network |
| title_full_unstemmed | Evidence for three-α breathing modes uncovered by control neural network |
| title_short | Evidence for three-α breathing modes uncovered by control neural network |
| title_sort | evidence for three α breathing modes uncovered by control neural network |
| url | http://www.sciencedirect.com/science/article/pii/S0370269325001571 |
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