Google scholar

Preprint

18. Andreas Dechant, Shin-ichi Sasa and Sosuke Ito
“Geometric decomposition of entropy production in out-of-equilibrium systems”
arXiv:2109.12817 (pdf) (2021).

15.  Keita Ashida, Kazuhiro Aoki and Sosuke Ito
    ”Experimental evaluation of thermodynamic cost and speed limit in living cells via information geometry” 
    bioRiv https://doi.org/10.1101/2020.11.29.403097 (pdf) (2020).

Refereed paper

12.  Sosuke Ito
    ”Information geometry, trade-off relations, and generalized Glansdorff-Prigogine criterion for stability” 
to appear in Journal of Physics A: Mathematical and Theoretical. Invited paper, Special issue: Nonequilibrium Thermodynamic Trade-offs on Uncertainty
arXiv:1908.09446 (pdf)

16. Muka Nakazato and Sosuke Ito
“Geometrical aspects of entropy production in stochastic thermodynamics based on Wasserstein distance”
Physical Review Research 3, 043093 (2021).
arXiv:2103.00503 (pdf)

17. Kohei Yoshimura and Sosuke Ito
“Thermodynamic uncertainty relation and thermodynamic speed limit in deterministic chemical reaction networks”
Physical Review Letters ,127, 160601 (2021). Editors’ suggestion
arXiv:2104.14748 (pdf)

14.  Kohei Yoshimura and Sosuke Ito
    ”Information Geometric Inequalities of Chemical Thermodynamics” 
Phys. Rev. Research 3, 013175 (2021).
    arXiv:2005.08444 (pdf).

11.  Matthijs Meijers, Sosuke Ito, and Pieter Rein ten Wolde
    ”Behavior of information flow near criticality” 
Phys. Rev. E 103, L010102 (2021)
 arXiv:1906.00787 (pdf).

10.  Sosuke Ito
    ”Unified framework for the second law of thermodynamics and information thermodynamics based on information geometry” 
    arXiv:1810.09545 (pdf) (2018).
Revision: Sosuke Ito, Masafumi Oizumi, and Shun-ichi Amari,
    ”Unified framework for the entropy production and the stochastic interaction based on information geometry” Physical Review Research 2, 033048 (2020).

13.  Shun Otsubo, Sosuke Ito, Andreas Dechant and Takahiro Sagawa
    ”Estimating entropy production by machine learning of short-time fluctuating currents” 
Physical Review E 101, 062106 (2020).
arXiv:2001.07460 (pdf)

9.  Sosuke Ito and Andreas Dechant
    ”Stochastic time-evolution, information geometry and the Cramer-Rao Bound” 
Physical Review X 10, 021056 (2020).
arXiv:1810.06832 (pdf) (2018).

8.  Sosuke Ito
    ”Stochastic thermodynamic interpretation of information geometry” 
    Physical Review Letters 121, 030605 (2018).
    arXiv:1712.04311 (pdf)

7.  Shumpei Yamamoto, Sosuke Ito, Naoto Shiraishi and Takahiro Sagawa
    “Linear Irreversible Thermodynamics and Onsager Reciprocity for Information-driven Engines” 
    Physical Review E 94, 052121 (2016). 
    arXiv:1604.07988 (pdf)

6.  Sosuke Ito 
    “Backward transfer entropy: Informational measure for detecting hidden Markov models and its interpretations in thermodynamics, gambling and causality” 
    Scientific Reports 6, 36831 (2016). 
    arXiv:1605.00301 (pdf)

5.  Nobuyuki Matsumoto, Kentaro Komori, Sosuke Ito, Yuta Michimura and Yoichi Aso
    ”Directed measurement of optical trap-induced decoherence” 
    Physical Review A 94, 033822 (2016). 
    arXiv:1603.05364 (pdf)

4.  Sosuke Ito and Takahiro Sagawa
    “Maxwell’s demon in biochemical signal transduction with feedback loop” 
    Nature Communications 6, 7498 (2015). 
    arXiv:1406.5810 (pdf

3.  Naoto Shiraishi, Sosuke Ito, Kyogo Kawaguchi and Takahiro Sagawa
    “Role of measurement-feedback separation in autonomous Maxwell’s demon” 
    New Journal of Physics 17, 045012 (2015). 
    arXiv:1501.06071 (pdf)

2.  Sosuke Ito and Takahiro Sagawa
    “Information Thermodynamics on Causal Networks” 
    Physical Review Letters 111, 180603 (2013). 
    arXiv:1306.2756 (pdf)

1.  Sosuke Ito and Masaki Sano
    “Effects of error on fluctuations under feedback control” 
    Physical Review E 84, 021123 (2011). 
    arXiv:1105.5456 (pdf)

Book

1. Sosuke Ito
    “Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction”, 
    Springer, 2016. (ISBN: 978-981-10-1664-6)
     Reproduced from my Ph.D. thesis in Springer Theses, Nominated as an outstanding contribution by the University of Tokyo’s Physics Department in 2015 

Book chapter

1. Sosuke Ito and Takahiro Sagawa
   “Information flow and entropy production on Bayesian networks” 
As a chapter of M. Dehmer, F. Emmert-Streib, Z. Chen, X. Li, Y. Shi (Eds.), “Mathematical Foundations and Applications of Graph Entropy”, 
     Wiley, 2016. (ISBN: 978-3-527-33909-9)
     arXiv:1506.08519 (pdf

Review article

3.  Sosuke Ito
    “Lecture note – Information thermodynamics on causal networks and biochemical information processing” 
     BUSSEI KENKYU DENSHIBAN (in Japanese), 6(4), 064232 (2017).

2.  Sosuke Ito and Takahiro Sagawa
    ”Information thermodynamics on causal networks and biochemical information processing” 
     NIHON BUTSURI GAKKAISHI (in Japanese), 72, 9 (2017).

1.  Sosuke Ito
    ”Maxwell’s demon in sensory adaptation” 
    SEIBUTSU BUTSURI (in Japanese), 56, 232 (2016).