Personne

Amos Maritan

Publications associées (48)

Fluctuations of entropy production of a run-and-tumble particle

Daniel Maria Busiello, Amos Maritan, Deepak Gupta

Out-of-equilibrium systems continuously generate entropy, with its rate of production being a fingerprint of nonequilibrium conditions. In small-scale dissipative systems subject to thermal noise, fluctuations of entropy production are significant. Hithert ...
AMER PHYSICAL SOC2023

Information-driven transitions in projections of underdamped dynamics

Daniel Maria Busiello, Giorgio Nicoletti, Amos Maritan

Low-dimensional representations of underdamped systems often provide useful insights and analytical tractability. Here, we build such representations via information projections, obtaining an optimal model that captures the most information on observed spa ...
AMER PHYSICAL SOC2022

Seeing the forest for the trees through metabolic scaling

Andrea Rinaldo, Amos Maritan

We demonstrate that when power scaling occurs for an individual tree and in a forest, there is great resulting simplicity notwithstanding the underlying complexity characterizing the system over many size scales. Our scaling framework unifies seemingly dis ...
2022

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...
NATL ACAD SCIENCES2021

Coarse-grained entropy production with multiple reservoirs: Unraveling the role of time scales and detailed balance in biology-inspired systems

Daniel Maria Busiello, Amos Maritan, Deepak Gupta

A general framework to describe a vast majority of biology-inspired systems is to model them as stochastic processes in which multiple couplings are in play at the same time. Molecular motors, chemical reaction networks, catalytic enzymes, and particles ex ...
2020

Entropy production in systems with unidirectional transitions

Daniel Maria Busiello, Amos Maritan

The entropy production is one of the most essential features for systems operating out of equilibrium. The formulation for discrete-state systems goes back to the celebrated Schnakenberg's work and hitherto can be carried out when for each transition betwe ...
2020

Generalized size scaling of metabolic rates based on single-cell measurements with freshwater phytoplankton

Anders Meibom, Andrea Rinaldo, Stéphane Laurent Escrig, Andrea Giometto, Silvia Zaoli, Emilio Marañón, Amos Maritan

Kleiber's law describes the scaling of metabolic rate with body size across several orders of magnitude in size and across taxa and is widely regarded as a fundamental law in biology. The physiological origins of Kleiber's law are still debated and general ...
PNAS2019

On the probabilistic nature of the species-area relation

Andrea Rinaldo, Andrea Giometto, Jonathan Giezendanner, Silvia Zaoli, Amos Maritan

The Species-Area Relation (SAR), which describes the increase in the number of species S with increasing area A, is under intense scrutiny in contemporary ecology, in particular to probe its reliability in predicting the number of species going extinct as ...
2019

Entropy production for coarse-grained dynamics

Daniel Maria Busiello, Amos Maritan

Systems out of equilibrium exhibit a net production of entropy. We study the dynamics of a stochastic system represented by a Master equation (ME) that can be modeled by a Fokker-Planck equation in a coarse-grained, mesoscopic description. We show that the ...
2019

Entropy production in master equations and Fokker-Planck equations: facing the coarse-graining and recovering the information loss

Daniel Maria Busiello, Amos Maritan

Systems operating out of equilibrium exchange energy and matter with the environment, thus producing entropy in their surroundings. Since the entropy production depends on the current flowing throughout the system, its quantification is affected by the lev ...
2019

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