2024年

受賞

• [Editor’s Choice] Akio Tomiya and Yuki Nagai, “Self-Learning Monte Carlo with Equivariant Transformer”, Journal of the Physical Society of Japan, 93 (2024) 11.
  
• [Student Presentation Award of the Physical Society of Japan] Kohei Sato, The Physical Society of Japan, the 2024 Annual (79th) Meeting, October 25, 2024

研究発表

• Takeshi Yamazaki, “スーパーコンピュータとAIを使った新しい極微世界の探索”, 第4回「富岳百景」シンポジウム, online, December 25, 2025
• Akio Tomiya, “Lattice QCD with Julia”, Julia in physics 2024 , Tokyo, December 14, 2024
• Yuki Nagai, “Efficient and Accurate Molecular Dynamics: The Self-Learning Hybrid Monte Carlo Method”, 52nd ASE Seminar, the University of Tokyo, December 9, 2024
• Akio Tomiya, “Gauge Covariant Transformer”, Lattice Field Theory and Machine Learning , Taipei, December 5, 2024
• Akio Tomiya, “Let’s see Inside of generative AI”, Yakumo High School, Tokyo, December 2, 2024
• Akio Tomiya, “Why AI study got Nobel prize?”, TWCU Faculty Union Sponsored Event: “Exploring the Charms of Tokyo Women’s University” Research Presentation, Tokyo, November 19, 2024
• Hiroshi Ohno, “Machine learning applications to Lattice QCD”, Tsukuba/LBNL Collaboration
  Meeting, Lawrence Berkeley National Laboratory, November 7-8, 2024
• Akio Tomiya, “Lattice QCD with Machine Learning”, 2024 Workshop on Applications of Machine Learning and Artificial Intelligence for Physics and Chemistry Problems, Taipei, November 9, 2024
• Naoya Ukita, “Search for physics beyond the standard model using very large scale lattice QCD simulation and development of AI technology toward next generation lattice QCD, The 11th Project Report Meeting, THE GRAND HALL, October 24-25, 2024
• Akio Tomiya, “Lattice QCD with Machine Learning”, Physics-of-intelligence-and-machine-learning-2024, Heidelburg, October 16, 2024
• Akio Tomiya, “Let’s see Inside of generative AI”, Akita Prefectural Odate Homei High School, Online, October 9, 2024
• Naoya Ukita, “Search for physics beyond the standard model from 2+1+1 Flavor Lattice QCD with the Physical Quark Masses”, 16th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences, Epochal Tsukuba International Congress Center, October 7-8, 2024
• Kohei Sato, “Calculation of meson charge radius without fit ansatz”, 16th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences, Epochal Tsukuba International Congress Center, October 7-8, 2024
• Akio Tomiya, “Symplectic integrators in lattice QCD”, Analytical Mechanics Mini-workshop, Tokyo, September 30, 2024
• Benjamin J. Choi, “Machine learning estimation on the trace of inverse dirac operator
  using the gradient boosting decision tree regression”, Foundation of “Machine Learning Physics”, Area workshop, the University of Tokyo, September 25-27, 2024
• Takeshi Yamazaki, “Calculation of Kl3 form factor at the physical point on large volume”, German Japanese Seminar 2024, Mainz University, September 25-27, 2024
• Kohei Sato, “Calculation of pion and kaon charge radii using model-independent method in the PACS10 configuration”, German Japanese Seminar 2024, Mainz University, September 25-27, 2024
• Akio Tomiya, “Machine learning in lattice gauge theory”, German Japanese Seminar 2024, Mainz University, September 25-27, 2024
• Hiroshi Ohno, “Machine learning estimation on the trace of inverse Dirac operator”, German Japanese Seminar 2024, Mainz University, September 25-27, 2024
• Naoya Ukita, “PACS10 coordination generation at Nf=2+1, 2+1+1 and hadron measurement”, 79th Annual JPS Meeting(2024), Hokkaido University, September 16-19, 2024
• Kohei Sato, “Calculation of pion and kaon charge radii using PACS10 configuration”, 79th Annual JPS Meeting(2024), Hokkaido University, September 16-19, 2024
• Takeshi Yamazaki, “Kaon semileptonic form factor from the Nf=2+1 PACS10 configuration”, 79th Annual JPS Meeting(2024), Hokkaido University, September 16-19, 2024
• Hiromasa Watanabe, “経路積分”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Takeshi Yamazaki, “格子ゲージ理論”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Ken-ichi Ishikawa, “クォークソルバー”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Yuki Nagai, Akio Tomiya, “ハンズオン”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Hiroshi Ohno, “有限温度”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Akio Tomiya, “機械学習”, Summer school for lattice field theory 2024, University of Tsukuba, September 9-13, 2024
• Akio Tomiya, “Machine Learning Methods in Lattice QCD”, Confinement, Cairns, August 21, 2024
• Benjamin J. Choi, “Machine Learning Estimation on the trace of inverse Dirac operator using the Gradient Boosting Decision Tree Regression”, Lattice2024, University of Liverpool, July 28-August 3, 2024
• Akio Tomiya, “Developments of CASK: Gauge Symmetric Transformer”, Lattice2024, University of Liverpool, July 28-August 3, 2024
• Ryutaro Tsuji, “Proton decay matrix elements on PACS configurations”, Lattice2024, University of Liverpool, July 28-August 3, 2024
• Kohei Sato, “Calculation of meson charge radii using model-independent method in the PACS10 configuration”, Lattice2024, University of Liverpool, July 28-August 3, 2024
• Takeshi Yamazaki, “Update of kaon semileptonic form factor using Nf=2+1 PACS10 configurations”, Lattice2024, University of Liverpool, July 28-August 3, 2024
• Akio Tomiya, “MLPhys in Japan and Developments of CASK: Gauge Symmetric Transformer”, ML meets LFT, Swansea, July 26, 2024
• Akio Tomiya, “Let’s see inside of ChatGPT”, Akita Prefectural Odate Homei High School, Online, July 4, 2024
• Akio Tomiya, “Machine learning and theoretical physics”, JICFuS meeting, Online, May 17, 2024

論文

• Kohei Sato, Hiromasa Watanabe, Takeshi Yamazaki for PACS Collaboration, “Calculation of meson charge radii using model-independent method in the PACS10 configuration”, arXiv:2412.18166
• Takeshi Yamazaki et al. for PACS Collaboration, “Update of kaon semileptonic form factor using Nf=2+1 PACS10 configurations”, arXiv:2412.05778
• Benjamin J. Choi, Hiroshi Ohno, Takayuki Sumimoto, and Akio Tomiya, “Machine Learning Estimation on the Trace of Inverse Dirac Operator using the Gradient Boosting Decision Tree Regression”, arXiv:2411.18170
• Yuya Tanizaki, Akio Tomiya, and Hiromasa Watanabe, “Lattice gradient flows (de-)stabilizing topological sectors”, arXiv:2411.14812
• Yuki Nagai and Akio Tomiya, “JuliaQCD: Portable lattice QCD package in Julia language”, arXiv:2409.03030

2023年

受賞

• [BEST FACULTY MEMBER] Takeshi Yamazaki, FY2023 University of Tsukuba BEST FACULTY MEMBER, February 14, 2024
• [The 29th Outstanding Paper Award] Akinori Tanaka and Akio Tomiya, J. Phys. Soc. Jpn.86,063001(2017), the Physical Society of Japan, February 7, 2024
• [HPCI Excellent Achievement Award] Shoichi Sasaki (Project leader), Yasumichi Aoki, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Eigo Shintani, Ryutaro Tsuji, Naoya Ukita, Takeshi Yamazaki, “Precision computations of particle and nuclear physics with lattice QCD”,  The Tenth Project Report Meeting of the HPCI System Including Fugaku/The Sixth HPCI Consortium Symposium, October 25-26, 2023

研究発表

• Kohei Sato, “Model-independent charge radius calculation for pion and kaon”, JPS 2024 Spring Meeting, March 18-21, 2024
• Akio Tomiya, “自己学習モンテカルロとトランスフォーマー”, 「成果創出加速」基礎科学合同シンポジウム, December 18-20, 2023
• Takeshi Yamazaki, “大規模格子QCD計算による標準模型を超えた物理探索”, 「成果創出加速」基礎科学合同シンポジウム, December 18-20, 2023
• Takeshi Yamazaki, “超大規模格子QCDによる新物理探索と次世代計算に向けたAI技術開発”, 第3回 「富岳」成果創出加速プログラムシンポジウム「富岳百景」, December 1, 2023
• [Invited Talk] Kohei Sato, “How to directly calculate pion charge radius without fitting”, Large-scale lattice QCD simulation and application of machine learning, November 23-25, 2023
• [Invited Talk] Ken-ichi Ishikawa, “Wilson-Clover quark solver implementation on the supercomputer Fugaku”, Large-scale lattice QCD simulation and application of machine learning, November 23-25, 2023
• [Invited Talk] Yuki Nagai, “Self-learning Monte Carlo method with equivariant Transformer”, Large-scale lattice QCD simulation and application of machine learning, November 23-25, 2023
• Takeshi Yamazaki, “Calculations using PACS10 configuration”, Large-scale lattice QCD simulation and application of machine learning, November 23-25, 2023
• Naoya Ukita, “Exploration of physics beyond the standard model with master field lattice QCD”, The Tenth Project Report Meeting of the HPCI System Including Fugaku/The Sixth HPCI Consortium Symposium, October 25-26, 2023
• [Panel Discussion Panelist] Takeshi Yamazaki, “Fugaku advanced applications promoted by young project leaders”, The Tenth Project Report Meeting of the HPCI System Including Fugaku/The Sixth HPCI Consortium Symposium, October 25-26, 2023
• [Invited Talk] Akio Tomiya, “Integrating Machine Learning into Lattice QCD”, 15th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences, October 1-2, 2023
• Kohei Sato, “Systematic error of model-independent method for pion charge radius”, 15th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences, October 1-2, 2023
• Naoya Ukita, “Search for physics beyond the standard model from 2+1 +1 Flavor Lattice QCD with the Physical Quark Masses”, 15th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences, October 1-2, 2023
• Kohei Sato, “Model-dependent and independent analysis and comparison for pion charge radius”, JPS 78th Annual Meeting, Tohoku University, September 16-19, 2023
• Yasumichi Aoki, Yoshinobu Kuramashi, Eigo Shintani, Ryutaro Tsuji, “Computation of proton decay matrix elements on top of the physical point”, JPS 78th Annual Meeting, Tohoku University, September 16-19, 2023
• Takeshi Yamazaki, “Kaon semileptonic form factor from the PACS10 configuration of the 256⁴ lattice”, JPS 78th Annual Meeting, Tohoku University, September 16-19, 2023
• Naoya Ukita, “Light hadron spectrum of 2+1 flavor QCD on PACS10 configurations”, JPS 78th Annual Meeting, Tohoku University, September 16-19, 2023
• Akio Tomiya, “Implementation of lattice QCD in the Julia language”, JPS 78th Annual Meeting, Tohoku University, September 16-19, 2023
• [Invited Talk] Takeshi Yamazaki, “Hadron form factors from PACS10 configurations”, Lattice QCD and Probes of New Physics, McKibbin Conference Center, August 7-11, 2023
• Kohei Sato, “Comparison with model-independent and dependent analyses for pion charge radius”, Lattice2023, Fermi National Laboratory, July 31-August 4, 2023
• Akio Tomiya, “Equivariant transformer is all you need”, Lattice2023, Fermi National Laboratory, July 31-August 4, 2023
• Takeshi Yamazaki, “|V_{us}| from kaon semileptonic form factor in N_f = 2+1 QCD at the physical point on (10 fm)^4”, Lattice2023, Fermi National Laboratory, July 31-August 4, 2023

論文

• T. Yamazaki et al. for PACS Collaboration, “|V_{us}| from kaon semileptonic form factor in N_f = 2+1 QCD at the physical point on (10 fm)^4”, arXiv:2311.16755, Proceedings of Science(LATTICE2023)276
• Kohei Sato, Hiromasa Watanabe, Takeshi Yamazaki, “Comparison with model-independent and dependent analyses for pion charge radius”, arXiv:2310.16622, Proceedings of Science(LATTICE2023)312
• Akio Tomiya, Yuki Nagai, “Equivariant Transformer is all you need”, arXiv:2310.13222, Proceedings of Science(LATTICE2023)001
• Yuki Nagai, Akio Tomiya, “Self-learning Monte Carlo with equivariant Transformer”, arXiv:2306.11527, Journal of the Physical Society of Japan, 93 (2024) 11 [Editors’ Choice]