activity
20142026
most citedUnifying Thermodynamic Uncertainty Relations

130 citations · 1.1k across the 43 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cond-mat.stat-mech2019★ 6 cited

Strong current response to slow modulation: a metabolic case-study

Danilo Forastiere, Gianmaria Falasco, Massimiliano Esposito

We study the current response to periodic driving of a crucial biochemical reaction network, namely, substrate inhibition. We focus on the conversion rate of substrate into product…

physics.chem-ph2019★ 24 cited

Chemical Cloaking

Francesco Avanzini, Gianmaria Falasco, Massimiliano Esposito

Hiding an object in a chemical gradient requires to suppress the distortions it would naturally cause on it. To do so, we propose a strategy based on coating the object with a chem…

astro-ph.CO2019★ 14 cited

On a possible nonequilibrium imprint in the cosmic background at low frequencies

Marco Baiesi, Carlo Burigana, Livia Conti +4

The cosmic background radiation has been observed to deviate from the Planck law expected from a blackbody at 2.7 K at frequencies below GHz. We discuss the abundan…

cond-mat.stat-mech2019★ 130 cited

Unifying Thermodynamic Uncertainty Relations

Gianmaria Falasco, Massimiliano Esposito, Jean-Charles Delvenne

We introduce a new technique to bound the fluctuations exhibited by a physical system, based on the Euclidean geometry of the space of observables. Through a simple unifying argume…

cond-mat.stat-mech2019★ 46 cited

Thermodynamics of Chemical Waves

Francesco Avanzini, Gianmaria Falasco, Massimiliano Esposito

Chemical waves constitute a known class of dissipative structures emerging in reaction-diffusion systems. They play a crucial role in biology, spreading information rapidly to sync…

cond-mat.stat-mech2019★ 65 cited

Large deviations and dynamical phase transitions in stochastic chemical networks

Alexandre Lazarescu, Tommaso Cossetto, Gianmaria Falasco +1

Chemical reaction networks offer a natural nonlinear generalisation of linear Markov jump processes on a finite state-space. In this paper, we analyse the dynamical large deviation…