Maruyama Shuhei 丸山修平

… Alternative Names

丸山修平マルヤマシュウヘイ

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Researcher Number	70742170
Other IDs	https://orcid.org/0000-0003-0426-7733
Affiliation (Current)	2024: 国立研究開発法人日本原子力研究開発機構, 大洗研究所高速炉サイクル研究開発センター, 研究職
Affiliation (based on the past Project Information) *help	2021 – 2022: 国立研究開発法人日本原子力研究開発機構, 高速炉・新型炉研究開発部門大洗研究所高速炉サイクル研究開発センター, 研究職
Review Section/Research Field	Except Principal Investigator Basic Section 31010:Nuclear engineering-related
Keywords	Except Principal Investigator 連続エネルギーモンテカルロ法 / 有効部分空間法 / 革新型原子炉 / Unscented Transformation / ベイジアンモンテカルロ法 / 特異値分解 / M推定 / 代理モデル / 連続エネルギーモンテカルロ / 断面積調整 / 炉心解析

Improvement of prediction accuracy of advanced reactors: Precise and robust cross section adjustment method based on active subspace approach
- Principal Investigator
  
  山本章夫
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 31010:Nuclear engineering-related
- Research Institution
  Nagoya University

All 2023 2022

All Journal Article Presentation

[Journal Article] Development of a robust nuclear data adjustment method to outliers2023
- Author(s)
  Yuhei Fukui, Tomohiro Endo, Akio Yamamoto, Shuhei Maruyama
- Journal Title
  
  EPJ Web of Conferences
  
  Volume: 281 Pages: 00006-00006
- DOI
  10.1051/epjconf/202328100006
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K04940
[Journal Article] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2023
- Author(s)
  Shuhei Maruyama, Tomohiro Endo, Akio Yamamoto
- Journal Title
  
  EPJ Web of Conferences
  
  Volume: 281 Pages: 00008-00008
- DOI
  10.1051/epjconf/202328100008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K04940
[Presentation] 一般化摂動論に基づくナトリウム遮蔽実験の核データ感度解析2023
- Author(s)
  丸山修平, 遠藤知弘, 山本章夫
- Organizer
  日本原子力学会2023年春の年会
- Data Source
  KAKENHI-PROJECT-21K04940
[Presentation] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2022
- Author(s)
  Shuhei Maruyama, Tomohiro Endo, and Akio Yamamoto
- Organizer
  5th International Workshop on Nuclear Data Covariances (CW2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K04940
[Presentation] Development of a robust nuclear data adjustment method to outliers2022
- Author(s)
  Yuhei Fukui , Tomohiro Endo, Akio Yamamoto, Shuhei Maruyama
- Organizer
  5th International Workshop on Nuclear Data Covariances (CW2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K04940
[Presentation] 外れ値に堅牢な核データ調整法の開発2022
- Author(s)
  福井悠平, 遠藤知弘, 山本章夫, 丸山修平
- Organizer
  日本原子力学会2022年秋の大会
- Data Source
  KAKENHI-PROJECT-21K04940

1. 山本章夫 (50362265)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results
2. 遠藤知弘 (50377876)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results

Maruyama Shuhei 丸山修平

丸山修平マルヤマシュウヘイ

Research Projects

Research Products

Co-Researchers

Improvement of prediction accuracy of advanced reactors: Precise and robust cross section adjustment method based on active subspace approach

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Development of a robust nuclear data adjustment method to outliers2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] 一般化摂動論に基づくナトリウム遮蔽実験の核データ感度解析2023

Author(s)

Organizer

Data Source

[Presentation] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2022

Author(s)

Organizer

Data Source

[Presentation] Development of a robust nuclear data adjustment method to outliers2022

Author(s)

Organizer

Data Source

[Presentation] 外れ値に堅牢な核データ調整法の開発2022

Author(s)

Organizer

Data Source

Maruyama Shuhei 丸山 修平

丸山 修平 マルヤマ シュウヘイ

Research Projects

Research Products

Co-Researchers

Improvement of prediction accuracy of advanced reactors: Precise and robust cross section adjustment method based on active subspace approach

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Development of a robust nuclear data adjustment method to outliers2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] 一般化摂動論に基づくナトリウム遮蔽実験の核データ感度解析2023

Author(s)

Organizer

Data Source

[Presentation] Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method2022

Author(s)

Organizer

Data Source

[Presentation] Development of a robust nuclear data adjustment method to outliers2022

Author(s)

Organizer

Data Source

[Presentation] 外れ値に堅牢な核データ調整法の開発2022

Author(s)

Organizer

Data Source

Maruyama Shuhei 丸山修平

丸山修平マルヤマシュウヘイ