Yoshida Sota 吉田聡太

… Alternative Names

吉田聡太ヨシダソウタ

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Researcher Number	10868665
Other IDs	https://orcid.org/0000-0002-1342-1846
Affiliation (Current)	2025: 宇都宮大学, データサイエンス経営学部, 准教授
Affiliation (based on the past Project Information) *help	2025: 宇都宮大学, データサイエンス経営学部, 准教授 2022 – 2023: 宇都宮大学, 大学教育推進機構, 助教 2021: 宇都宮大学, 大学教育推進機構, 特任助教
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (II) / Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics Except Principal Investigator Particle/Nuclear/Cosmic ray/Astro physics
Keywords	Principal Investigator 殻模型計算 / 有効相互作用 / 第一原理計算 / 核力 / 原子核構造 Except Principal Investigator 不安定核 / ベイズ推論 / 原子核構造 / 有効相互作用 / 殻模型計算 … More / 原子核構造理論 / 大規模並列計算 / 原子核理論 / eigenvector continuation / 近似解法 / 固有ベクトル連続性 / ベイズ統計 / 不定性評価 / 原子核殻模型 Less

構造・反応を貫く核子多体系の代理モデルの開発Principal Investigator
- Principal Investigator
  
  吉田聡太
- Project Period (FY)
  2025 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Utsunomiya University
Investigation of effects of the three-nucleon force in medium-mass nucleiPrincipal Investigator
- Principal Investigator
  
  吉田聡太
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
- Research Institution
  Utsunomiya University
Data-driven approaches in nuclear structure theory
- Principal Investigator
  
  Shimizu Noritaka
- Project Period (FY)
  2017 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Particle/Nuclear/Cosmic ray/Astro physics
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2020 2018

All Journal Article Presentation

[Journal Article] Erratum: Systematic shell-model study of β-decay properties and Gamow-Teller strength distributions in A ~ 40 neutron-rich nuclei [Phys. Rev. C 97, 054321 (2018)]2024
- Author(s)
  Yoshida Sota、Utsuno Yutaka、Shimizu Noritaka、Otsuka Takaharu
- Journal Title
  
  Physical Review C
  
  Volume: 109 Issue: 2 Pages: 029904-029904
- DOI
  10.1103/physrevc.109.029904
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14030
[Journal Article] IMSRG-Net: A machine-learning-based solver for the in-medium similarity renormalization group method2023
- Author(s)
  Yoshida Sota
- Journal Title
  
  Physical Review C
  
  Volume: 108 Issue: 4 Pages: 044303-044303
- DOI
  10.1103/physrevc.108.044303
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14030
[Journal Article] Constructing approximate shell-model wavefunctions by eigenvector continuation2022
- Author(s)
  Yoshida Sota、Shimizu Noritaka
- Journal Title
  
  Progress of Theoretical and Experimental Physics
  
  Volume: -
- DOI
  10.1093/ptep/ptac057
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K05433, KAKENHI-PROJECT-22K14030
[Journal Article] NuclearToolkit.jl: A Julia package for nuclear structure calculations2022
- Author(s)
  Yoshida Sota
- Journal Title
  
  Journal of Open Source Software
  
  Volume: 7 Issue: 79 Pages: 4694-4694
- DOI
  10.21105/joss.04694
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14030
[Journal Article] The impact of nuclear shape on the emergence of the neutron dripline2020
- Author(s)
  Tsunoda Naofumi、Otsuka Takaharu、Takayanagi Kazuo、Shimizu Noritaka、Suzuki Toshio、Utsuno Yutaka、Yoshida Sota、Ueno Hideki
- Journal Title
  
  Nature
  
  Volume: 587 Issue: 7832 Pages: 66-71
- DOI
  10.1038/s41586-020-2848-x
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K05433, KAKENHI-PROJECT-19K03855, KAKENHI-PROJECT-20K03981, KAKENHI-PLANNED-18H05462, KAKENHI-PUBLICLY-19H05145
[Journal Article] Uncertainty quantification in the nuclear shell model2018
- Author(s)
  Yoshida Sota、Shimizu Noritaka、Togashi Tomoaki、Otsuka Takaharu
- Journal Title
  
  Physical Review C
  
  Volume: 98 Issue: 6 Pages: 061301-061301
- DOI
  10.1103/physrevc.98.061301
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K05433, KAKENHI-PROJECT-17J06775
[Journal Article] Systematic shell-model study of β-decay properties and Gamow-Teller strength distributions in A?40 neutron-rich nuclei2018
- Author(s)
  Yoshida Sota、Utsuno Yutaka、Shimizu Noritaka、Otsuka Takaharu
- Journal Title
  
  Physical Review C
  
  Volume: 97 Issue: 5 Pages: 054321-054321
- DOI
  10.1103/physrevc.97.054321
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K05433, KAKENHI-PROJECT-17J06775, KAKENHI-PROJECT-15K05094
[Presentation] NuclearToolkit.jlによる原子核構造計算入門2024
- Author(s)
  吉田聡太
- Organizer
  計算物理春の学校2024
- Invited
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] IMSRG-Net：機械学習を用いた核子系第一原理計算の代理モデル2024
- Author(s)
  吉田聡太
- Organizer
  日本物理学会 2024年春季大会
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] p-, sd-, pf-殻核２中性子系の量子計算2024
- Author(s)
  吉田聡太, 佐藤健, 緒方拓巳, 内藤智也, 木村真明
- Organizer
  日本物理学会 2024年春季大会
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] Emulator of shell-model calculations via eigenvector continuation2023
- Author(s)
  Sota Yoshida
- Organizer
  Eigenvector continuation method in nuclear structure and reaction theory
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] NuclearToolkit.jl ~核力・第一原理計算・殻模型・機械学習~2023
- Author(s)
  吉田聡太
- Organizer
  九州大学理論核物理研究会「現代核物理の広がりと展望」
- Invited
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] Learning from what we had disposed and an accelerator to “Machine Learning + nuclear physics”2022
- Author(s)
  Sota Yoshida
- Organizer
  [RIBF-ULIC-miniWS037] Combining Nuclear Theory and Machine Learning for fundamental studies and applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] 原子核の第一原理計算コード開発と機械学習の応用2022
- Author(s)
  吉田聡太
- Organizer
  令和４年度北海道大学情報基盤センター萌芽型共同研究研究会「核反応シミュレーションと機械学習による核反応模型の発展」
- Invited
- Data Source
  KAKENHI-PROJECT-22K14030
[Presentation] "NuclearToolkit.jl：核構造計算のためのJuliaパッケージ2022
- Author(s)
  吉田聡太
- Organizer
  日本物理学会2022年秋季大会
- Data Source
  KAKENHI-PROJECT-22K14030

1. Shimizu Noritaka (30419254)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results

Yoshida Sota 吉田 聡太

吉田 聡太 ヨシダ ソウタ

Research Projects

Research Products

Co-Researchers

構造・反応を貫く核子多体系の代理モデルの開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Investigation of effects of the three-nucleon force in medium-mass nucleiPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Data-driven approaches in nuclear structure theory

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Erratum: Systematic shell-model study of β-decay properties and Gamow-Teller strength distributions in A ~ 40 neutron-rich nuclei [Phys. Rev. C 97, 054321 (2018)]2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] IMSRG-Net: A machine-learning-based solver for the in-medium similarity renormalization group method2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Constructing approximate shell-model wavefunctions by eigenvector continuation2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] NuclearToolkit.jl: A Julia package for nuclear structure calculations2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The impact of nuclear shape on the emergence of the neutron dripline2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Uncertainty quantification in the nuclear shell model2018

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Systematic shell-model study of β-decay properties and Gamow-Teller strength distributions in A?40 neutron-rich nuclei2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] NuclearToolkit.jlによる原子核構造計算入門2024

Author(s)

Organizer

Data Source

[Presentation] IMSRG-Net：機械学習を用いた核子系第一原理計算の代理モデル2024

Author(s)

Organizer

Data Source

[Presentation] p-, sd-, pf-殻核２中性子系の量子計算2024

Author(s)

Organizer

Data Source

[Presentation] Emulator of shell-model calculations via eigenvector continuation2023

Author(s)

Organizer

Data Source

[Presentation] NuclearToolkit.jl ~核力・第一原理計算・殻模型・機械学習~2023

Author(s)

Organizer

Data Source

[Presentation] Learning from what we had disposed and an accelerator to “Machine Learning + nuclear physics”2022

Author(s)

Yoshida Sota 吉田聡太

吉田聡太ヨシダソウタ