Research theme for competitive and other funds (15):
2022 - 2027 Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics
2022 - 2027 Frontiers of Condensed Matter Physics Pioneered by Neural Network
2022 - 2025 Effective models constructed by neural networks with symmetries
2022 - 2025 Study of high performance and accuracy eigenvalue solvers for quantum many-body systems
Nagai Yuki, Tanaka Akinori*, Tomiya Akio*. Self-learning Monte Carlo for non-Abelian gauge theory with dynamical fermions. Physical Review D. 2023. 107. 5. 054501\_1-054501\_16
Nagai Yuki, Shinaoka Hiroshi*. Sparse modeling approach for quasiclassical theory of superconductivity. Journal of the Physical Society of Japan. 2023. 92. 3. 034703\_1-034703\_8
Wallerberger M.*, Badr S.*, Hoshino Shintaro*, Huber S.*, Kakizawa Fumiya*, Koretsune Takashi*, Nagai Yuki, Nogaki Kosuke*, Nomoto Takuya*, Mori Hitoshi*, et al. sparse-ir; Optimal compression and sparse sampling of many-body propagators. Software X (Internet). 2023. 21. 101266\_1-101266\_7