Profil

FALASCO Gianmaria

Main Referenced Co-authors
ESPOSITO, Massimiliano  (16)
AVANZINI, Francesco  (5)
COSSETTO, Tommaso  (3)
Delvenne, Jean-Charles (2)
PENOCCHIO, Emanuele  (2)
Main Referenced Keywords
Biological sciences (1); Calcium signalling (1); chemical reaction network theory (1); Computational modelling (1); Human metabolism (1);
Main Referenced Disciplines
Physics (15)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (1)

Publications (total 16)

The most downloaded
161 downloads
Lazarescu, A., COSSETTO, T., FALASCO, G., & ESPOSITO, M. (2019). Large deviations and dynamical phase transitions in stochastic chemical networks. Journal of Chemical Physics, 151 (6). doi:10.1063/1.5111110 https://hdl.handle.net/10993/42857

The most cited

81 citations (Scopus®)

FALASCO, G., ESPOSITO, M., & Delvenne, J.-C. (2020). Unifying thermodynamic uncertainty relations. New Journal of Physics, 22 (5), 053046. doi:10.1088/1367-2630/ab8679 https://hdl.handle.net/10993/45954

VOORSLUIJS, V., AVANZINI, F., FALASCO, G., ESPOSITO, M., & SKUPIN, A. (15 March 2024). Calcium oscillations optimize the energetic efficiency of mitochondrial metabolism. iScience, 27 (3), 109078. doi:10.1016/j.isci.2024.109078
Peer Reviewed verified by ORBi

POLETTINI, M., FALASCO, G., & ESPOSITO, M. (December 2022). Tight uncertainty relations for cycle currents. Physical Review. E, 106 (6), 064121. doi:10.1103/PhysRevE.106.064121
Peer Reviewed verified by ORBi

FALASCO, G., ESPOSITO, M., & Delvenne, J.-C. (2022). Beyond thermodynamic uncertainty relations: nonlinear response, error-dissipation trade-offs, and speed limits. J. Phys. A: Math. Theor, 55 (12), 124002. doi:10.1088/1751-8121/ac52e2
Peer reviewed

AVANZINI, F., PENOCCHIO, E., FALASCO, G., & ESPOSITO, M. (02 March 2021). Nonequilibrium thermodynamics of non-ideal chemical reaction networks. Journal of Chemical Physics, 154, 094114. doi:10.1063/5.0041225
Peer Reviewed verified by ORBi

Freitas, N., FALASCO, G., & ESPOSITO, M. (2021). Linear response in large deviations theory: a method to compute non-equilibrium distributions. New J. Phys, 23 (9), 093003. doi:10.1088/1367-2630/ac1bf5
Peer reviewed

FALASCO, G., & ESPOSITO, M. (2021). Local detailed balance across scales: From diffusions to jump processes and beyond. Physical Review. E, 103, 042114. doi:10.1103/PhysRevE.103.042114
Peer Reviewed verified by ORBi

FALASCO, G., & ESPOSITO, M. (16 September 2020). Dissipation-Time Uncertainty Relation. Physical Review Letters, 125 (12), 120604. doi:10.1103/PhysRevLett.125.120604
Peer Reviewed verified by ORBi

AVANZINI, F., FALASCO, G., & ESPOSITO, M. (2020). Chemical cloaking. Physical Review. E, 101 (6), 060102. doi:10.1103/PhysRevE.101.060102
Peer Reviewed verified by ORBi

FORASTIERE, D., FALASCO, G., & ESPOSITO, M. (2020). Strong current response to slow modulation: A metabolic case-study. Journal of Chemical Physics, 152 (13), 134101. doi:10.1063/1.5143197
Peer Reviewed verified by ORBi

Herpich, T., COSSETTO, T., FALASCO, G., & ESPOSITO, M. (2020). Stochastic thermodynamics of all-to-all interacting many-body systems. New Journal of Physics, 22 (6), 063005. doi:10.1088/1367-2630/ab882f
Peer Reviewed verified by ORBi

AVANZINI, F., FALASCO, G., & ESPOSITO, M. (2020). Thermodynamics of non-elementary chemical reaction networks. New Journal of Physics, 22 (9), 093040. doi:10.1088/1367-2630/abafea
Peer Reviewed verified by ORBi

FALASCO, G., ESPOSITO, M., & Delvenne, J.-C. (2020). Unifying thermodynamic uncertainty relations. New Journal of Physics, 22 (5), 053046. doi:10.1088/1367-2630/ab8679
Peer Reviewed verified by ORBi

AVANZINI, F., FALASCO, G., & ESPOSITO, M. (2019). Thermodynamics of Chemical Waves. Cornell University. doi:10.1063/1.5126528
Peer reviewed

FALASCO, G., COSSETTO, T., PENOCCHIO, E., & ESPOSITO, M. (2019). Negative differential response in chemical reactions. New Journal of Physics, 21, 073005. doi:10.1088/1367-2630/ab28be
Peer Reviewed verified by ORBi

Lazarescu, A., COSSETTO, T., FALASCO, G., & ESPOSITO, M. (2019). Large deviations and dynamical phase transitions in stochastic chemical networks. Journal of Chemical Physics, 151 (6). doi:10.1063/1.5111110
Peer reviewed

FALASCO, G.* , RAO, R., & ESPOSITO, M.*. (2018). Information Thermodynamics of Turing Patterns. Physical Review Letters, 6. doi:10.1103/PhysRevLett.121.108301
Peer Reviewed verified by ORBi

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