Research field (2):
Biophysics
, Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
Research theme for competitive and other funds (3):
2022 - 2027 Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics
2022 - 2027 Approach from topological geometry toward machine learning
2011 - 2013 非可換渦のダイナミクスとその高密度QCD物質への応用
Papers (31):
Koji Hashimoto, Yuji Hirono, Akiyoshi Sannai. Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE. Machine Learning: Science and Technology. 2024
Yuji Hirono, Minyoung You, Stephen Angus, Gil Young Cho. A symmetry principle for gauge theories with fractons. SciPost Physics. 2024. 16. 2
Yuji Hirono, Ryo Hanai. Squeezing Stationary Distributions of Stochastic Chemical Reaction Systems. Journal of Statistical Physics. 2023. 190. 4
Yuji Hirono, Yong Hui Qi. Effective field theories for gapless phases with fractons via a coset construction. Physical Review B. 2022. 105. 20
Lata Thakur, Yuji Hirono. Spectral functions of heavy quarkonia in a bulk-viscous quark gluon plasma. Journal of High Energy Physics. 2022. 2022. 2