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J-GLOBAL ID：201801002649652903   Update date: Feb. 14, 2025

Sughiyama Yuki

スギヤマ ユウキ | Sughiyama Yuki
Affiliation and department：
Tohoku University Graduate School of Information Sciences

About Tohoku University Graduate School of Information Sciences


Research field  (2)： Bio-, chemical, and soft-matter physics ,  Mathematical physics and basic theory
Research keywords  (7)： 機械学習 ,  stochastic process ,  Large deviation theory ,  Evolutionary biology ,  Biophysics ,  Thermodynamics ,  Statistical physics
Research theme for competitive and other funds  (2)：
  • 2016 - 2019 集団増殖系に内在する定常状態熱力学構造とその応用
  • 2010 - 2012 非平衡系における熱力学理論の構築とその応用
Papers (35)：
  • Atsushi Kamimura, Yuki Sughiyama, Tetsuya J Kobayashi. Chemical thermodynamics of growing autocatalytic processes. JSAP Review. 2024. 93. 11. 624-629
  • Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi. Thermodynamic and stoichiometric laws ruling the fates of growing systems. Physical Review Research. 2024. 6. 2
  • Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Shuhei A. Horiguchi, Yuki Sughiyama. Information geometry of dynamics on graphs and hypergraphs. Information Geometry. 2023
  • Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi. Riemannian geometry of optimal driving and thermodynamic length and its application to chemical reaction networks. Physical Review Research. 2022. 4. 4
  • Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Yuki Sughiyama. Hessian geometry of nonequilibrium chemical reaction networks and entropy production decompositions. Physical Review Research. 2022. 4. 3
ｍore...
MISC (1)：
  • Hideyuki Miyahara, Koji Tsumura, Yuki Sughiyama. Deterministic quantum annealing expectation-maximization algorithm (vol 11, 113404, 2017). JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT. 2020. 2020. 10
Lectures and oral presentations  (26)：
  • 経路積分的見方による年齢構造付き個体群動態の解析とその応用
    (数理生物学会(JSMB2019) 2019)
  • A large deviation theory for an age-structured population dynamics and its application to inference of cell states
    (2019)
  • Pathwise analysis for a structured population dynamics and its application to inference of cell states
    (The XXVII International Conference on Statistical Physics (Statphys27) 2019)
  • Pathwise analysis for a multi-type age-structured population dynamics
    (Eurasian Health and Medicine 2018 2018)
  • Retrospective Approach for Age Structured Population Dynamics
    (The 12th AIMS Conference on Dynamical Systems, Differential Equations and Applications 2018)
ｍore...
Professional career (1)：
  • 博士(理学) (東京工業大学)
Association Membership(s) (1)：
THE PHYSICAL SOCIETY OF JAPAN
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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