Yuta Mukobara

向𠩤悠太

Japan Atomic Energy Agency

Nuclear physics · Nuclear data · Machine learning

Publications

25 records

Search publications

Publications — Resources
Date	Bibliography	PDF	DOI / arXiv	BibTeX
2026-08-19	2026-08-19Journal article Multiquark clustering in neutron-star matter from color-spin molecular dynamics Nobutoshi Yasutake, Yuta Mukobara, Aaron Park, Su Houng Lee, Toshiki Maruyama Physical Review D, 114(4) Peer reviewed	No PDF	DOI	BibTeX ↓
2026	2026MISC Transport Calculations with Quantum-Theoretical Cross Sections 向原悠太, 岩元大樹, 小野章, 片渕竜也, 千葉敏, 石塚知香子日本原子力学会春の年会予稿集(CD-ROM), 2026	No PDF	Publisher	BibTeX ↓
2025-04-24	2025-04-24Journal article Physics-Embedded Bayesian Neural Network (PE-BNN) to predict Energy Dependence of Fission Product Yields with Fine Structures Jingde Chen, Yuta Mukobara, Kazuki Fujio, Satoshi Chiba, Tatsuya Katabuchi, Chikako Ishizuka Physical Review C, 113(6) Peer reviewed	PDF	DOI	BibTeX ↓
2025	2025MISC Implementation of Cross Sections Based on Antisymmetrized Molecular Dynamics into PHITS 向原悠太, 岩元大樹, 小野章, 千葉敏, 片渕竜也, 石塚知香子日本原子力学会秋の大会予稿集(CD-ROM), 2025	No PDF	Publisher	BibTeX ↓
2025	2025MISC The effect of momentum fluctuations in nucleon wave packets on cross-sections in heavy-ion therapy 向原悠太, 小野章, 千葉敏, 片渕竜也, 石塚知香子日本原子力学会春の年会予稿集(CD-ROM), 2025	No PDF	Publisher	BibTeX ↓
2025	2025MISC Exploring fission mechanisms with four-dimensional Langevin trajectory analysis 石塚知香子, 向原悠太, 千葉敏, 片渕竜也日本原子力学会春の年会予稿集(CD-ROM), 2025	No PDF	Publisher	BibTeX ↓
2025	2025MISC Evaluation of Energy Dependence of Fission Yields Predicted by Machine Learning CHEN Jingde, 向原悠太, 千葉敏, 片渕竜也, 石塚知香子日本原子力学会春の年会予稿集(CD-ROM), 2025	No PDF	Publisher	BibTeX ↓
2024-10-18	2024-10-18Proceedings Fission trajectory analysis using ML techniques Yuta Mukobara, Satoshi Chiba, Kazuki Fujio, Tatsuya Katabuchi, Chikako Ishizuka Epj Web of Conferences, 306, 01042 First author Peer reviewed Corresponding author	PDF	DOI	BibTeX ↓
2024-07-12	2024-07-12Journal article Bayesian approach to energy dependence of fission product yields of 235 U by data augmentation Jingde Chen, Yuta Mukobara, Chikako Ishizuka, Tatsuya Katabuchi, Satoshi Chiba Journal of Nuclear Science and Technology, 61(12), 1509–1520 Peer reviewed	PDF	DOI	BibTeX ↓
2024-02	2024-02Journal article Mean-field dependence of fragment-production cross sections in heavy-ion induced reactions calculated by antisymmetrized molecular dynamics Yuta Mukobara, Toshiya Sanami, Akira Ono, Tsunenori Inakura, Tatsuya Katabuchi, Satoshi Chiba, Chikako Ishizuka Journal of Nuclear Science and Technology, 61(2), 206–217 First author Peer reviewed	PDF	DOI	BibTeX ↓
2024	2024MISC Development of Fission Nuclear Data using Machine Learning (2) Fission Product Yield Prediction and Evaluation Using Machine Learning CHEN Jingde, 向原悠太, 千葉敏, 山野直樹, 片渕竜也, 石塚知香子日本原子力学会秋の大会予稿集(CD-ROM), 2024	No PDF	Publisher	BibTeX ↓
2024	2024MISC Analysis of fission trajectories based on machine learning 石塚知香子, 向原悠太, 千葉敏, 千葉敏日本原子力学会春の年会予稿集(CD-ROM), 2024	No PDF	Publisher	BibTeX ↓
2024	2024Proceedings Rethinking Loss Functions for Fact Verification Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), 432–442 First author Peer reviewed Corresponding author	PDF	DOI	BibTeX ↓
2024	2024Commentary Rethinking Loss Functions for Fact Verification Yuta Mukobara 言語処理学会誌「自然言語処理」, 31(3), 1401–1405 First author Corresponding author Last author	PDF	DOI	BibTeX ↓
2024	2024MISC Improving Accuracy of Fission Product Yields by Physics-Informed Bayesian Neural Network CHEN Jingde, 向原悠太, 石塚知香子, 千葉敏, 千葉敏, 片渕竜也日本原子力学会春の年会予稿集(CD-ROM), 2024	No PDF	Publisher	BibTeX ↓
2024	2024MISC Intermediate energy benchmark comparison of Antisymmetrized Molecular Dynamics and PHITS for heavy ion cancer therapy 向原悠太, 稲倉恒法, 小野章, 千葉敏, 片渕竜也, 石塚知香子日本原子力学会秋の大会予稿集(CD-ROM), 2024	No PDF	Publisher	BibTeX ↓
2024	2024MISC Dependence of heavy-ion cross sections calculated by AMD on the mean-field models 向原悠太, 佐波俊哉, 佐波俊哉, 小野章, 稲倉恒法, 石塚知香子, 千葉敏, 千葉敏, 片渕竜也日本原子力学会春の年会予稿集(CD-ROM), 2024	No PDF	Publisher	BibTeX ↓
2023	2023MISC Evaluation of energy dependence of fission products yields of 235 U by Bayes deeplearning CHEN Jingde, 向原悠太, 石塚知香子, 千葉敏日本原子力学会春の年会予稿集(CD-ROM), 2023	No PDF	Publisher	BibTeX ↓
2023	2023MISC Improving accuracy of fission products yields by data augmentation CHEN Jingde, 向原悠太, 石塚知香子, 千葉敏, 千葉敏, 片渕竜也日本原子力学会秋の大会予稿集(CD-ROM), 2023	No PDF	Publisher	BibTeX ↓
2023	2023MISC Coordination dependence of the ground state of the mean-field model by antisymmetrized molecular dynamics 向原悠太, 佐波俊哉, 佐波俊哉, 小野章, 稲倉恒法, 石塚知香子, 千葉敏, 片渕竜也日本原子力学会秋の大会予稿集(CD-ROM), 2023	No PDF	Publisher	BibTeX ↓
2023	2023MISC Mean-field model dependence of the p+ 12 C, 27 Al reaction cross sections at 100 to 200MeV region in antisymmetrized molecular dynamics 向原悠太, 佐波俊哉, 佐波俊哉, 小野章, 稲倉恒法, 石塚知香子, 千葉敏日本原子力学会春の年会予稿集(CD-ROM), 2023	No PDF	Publisher	BibTeX ↓
2023	2023MISC Langevin trajectory analysis for a better understanding of the fission mechanism 石塚知香子, 向原悠太, 千葉敏, 千葉敏日本原子力学会秋の大会予稿集(CD-ROM), 2023	No PDF	Publisher	BibTeX ↓
2022	2022MISC Dependence of heavy-ion incident particle production cross sections on the mean-field model in antisymmetrized molecular dynamics calculations 向原悠太, CHEN Jingde, 石塚知香子, 千葉敏, 稲倉恒法日本原子力学会春の年会予稿集(CD-ROM), 2022	No PDF	Publisher	BibTeX ↓
2022	2022MISC Evaluation of Mean Field Model Dependence in Heavy Ion Injection Reactions Using Antisymmetrized Molecular Dynamics with Double Differential Cross Sections 向原悠太, 佐波俊哉, 佐波俊哉, 小野章, 稲倉恒法, 石塚知香子, 千葉敏日本原子力学会秋の大会予稿集(CD-ROM), 2022	No PDF	Publisher	BibTeX ↓
2022	2022MISC Evaluation of fission products yields with machine learning CHEN Jingde, 向原悠太, 石塚知香子, 千葉敏日本原子力学会秋の大会予稿集(CD-ROM), 2022	No PDF	Publisher	BibTeX ↓

Public researchmap data. Last fetched: 22 Oct 2026, 23:43

Research

Nuclear dynamics

Studying the behavior of nuclei in heavy-ion reactions through Antisymmetrized Molecular Dynamics.

Nuclear data evaluation

Bringing together theoretical calculations and Bayesian methods to analyze and evaluate nuclear data.

Learning across disciplines

Exploring machine learning methods, from fission trajectory analysis to fact verification in natural language.

Presentations & other activities

Presentations7 records

2026-09
GPU acceleration of JQMD and performance evaluation for various reaction systems
日本原子力学会2026年秋の大会 · 松山
Mukobara Yuta, Sugihara Kenta, Idomura Yasuhiro
Details on researchmap ↗
2026-09
Shell effects and the neutron emission within the multi-dimensional Langevin model
日本原子力学会2026年秋の大会 · 松山
Ishizuka Chikako*, Chiba Satoshi*, Raddinov S.*, Ivanyuk F. A.*, Mukobara Yuta
Details on researchmap ↗
2025-05
12C+12C Reaction Cross-Sections with Antisymmetrized Molecular Dynamics and PHITS for heavy particle therapy
16th Nuclear Data for Science and Technology Conference
Yuta Mukobara, Tsunenori Inakura, Akira Ono, Hiroki Iwamoto, Satoshi Chiba, Tatsuya Katabuchi, Chikako Ishizuka
Details on researchmap ↗
2024-03
Rethinking Loss Functions for Fact Verification
The 18th Conference of the European Chapter of the Association for Computational Linguistics
Yuta Mukobara, Yutaro Shigeto, Masashi Shimbo
Details on researchmap ↗
2023-11
Fission trajectory analysis using ML techniques
FUSION23
Yuta Mukobara, Satoshi Chiba, Kazuki Fujio, Tatsuya Katabuchi, Chikako Ishizuka
Details on researchmap ↗
2023-08
Cross section evaluation of the dependence of the mean field model on antisymmetrized molecular dynamics
The 1st IReNA-Ukakuren Joint Workshop “Advancing Professional Development in Nuclear Astrophysics and Beyond”
Yuta Mukobara, Toshiya Sanami, Akira Ono, Tsunenori Inakura, Satoshi Chiba, Tatsuya Katabuchi, Chikako Ishizuka
Details on researchmap ↗
2022-09
Uncertainty in prediction of heavy-ion reactions brought by mean-field models studied by Antisymmetrized Molecular Dynamics
5th International Workshop on Nuclear Data Covariances (CW2022)
Yuta Mukobara, Toshiya Sanami, Akira Ono, Tsunenori Inakura, Chikako Ishizuka, Satoshi Chiba
Details on researchmap ↗

Academic societies3 records

2024 — present
Association for Computational Linguistics
Details on researchmap ↗
2022 — present
Physical Society of Japan
Details on researchmap ↗
2021 — present
Atomic Energy Society of Japan
Details on researchmap ↗

Education & awards

Education

2023-04 — 2026-03
Institute of Science Tokyo
Doctor (Science)
School of Environment and Society / Transdisciplinary Science and Engineering / Nuclear Engineering Course
2021-04 — 2023-03
Tokyo Institute of Technology
Master (Engineering)
School of Environment and Society / Transdisciplinary Science and Engineering / Nuclear Engineering Course
2017-04 — 2021-03
Chiba Institute of Technology
Bachelor (Computer Science)
Faculty of Information and Computer Science / Department of Computer Science

Awards

2026.03
Student Paper Award, Computational Science and Technology Division
Atomic Energy Society of Japan
2026.03
Student Outstanding Presentation Award, Computational Science and Technology Division
Atomic Energy Society of Japan
2026.03
Outstanding Award, 19th Student Research Presentation Meeting, Kanto-Koshinetsu Branch
Atomic Energy Society of Japan
2025.09
Outstanding Student Poster Session Award
Atomic Energy Society of Japan
2023.09
Student Poster Session Encouragement Award
Atomic Energy Society of Japan
2023.03
Outstanding Student Award
Tokyo Institute of Technology
2022.11
Best Award
2022 Nuclear Data Workshop

CV 日本語 ↓CV English ↓CV updated: December 2024

Contact

mukobara.y.636f@m.isct.ac.jp

researchmap ↗

Yuta Mukobara

Research

Nuclear dynamics

Nuclear data evaluation

Learning across disciplines

Presentations & other activities

GPU acceleration of JQMD and performance evaluation for various reaction systems

Shell effects and the neutron emission within the multi-dimensional Langevin model

12C+12C Reaction Cross-Sections with Antisymmetrized Molecular Dynamics and PHITS for heavy particle therapy

Rethinking Loss Functions for Fact Verification

Fission trajectory analysis using ML techniques

Cross section evaluation of the dependence of the mean field model on antisymmetrized molecular dynamics

Uncertainty in prediction of heavy-ion reactions brought by mean-field models studied by Antisymmetrized Molecular Dynamics

Association for Computational Linguistics

Physical Society of Japan

Atomic Energy Society of Japan

Education & awards

Education

Institute of Science Tokyo

Tokyo Institute of Technology

Chiba Institute of Technology

Awards

Student Paper Award, Computational Science and Technology Division

Student Outstanding Presentation Award, Computational Science and Technology Division

Outstanding Award, 19th Student Research Presentation Meeting, Kanto-Koshinetsu Branch

Outstanding Student Poster Session Award

Student Poster Session Encouragement Award

Outstanding Student Award

Best Award

Contact