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20142026
most citedTuring patterns in multiplex networks

162 citations · 693 across the 50 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cond-mat.stat-mech2022★ 29 cited

Thermodynamic Bounds on Symmetry Breaking in Linear and Catalytic Biochemical Systems

Shiling Liang, Paolo De Los Rios, Daniel Maria Busiello

Living systems are maintained out-of-equilibrium by external driving forces. At stationarity, they exhibit emergent selection phenomena that break equilibrium symmetries and origin…

cond-mat.stat-mech2022

Dissipative symmetry breaking in non-equilibrium steady states

Matteo Sireci, Daniel Maria Busiello

The connection between dissipation and symmetry breaking is a long-standing enigma in statistical physics. It is intimately connected to the quest of a non-equilibrium functional w…

cond-mat.stat-mech2022★ 21 cited

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

Prajwal Padmanabha, Daniel Maria Busiello, Amos Maritan +1

Out-of-equilibrium systems continuously generate entropy, with its rate of production being a fingerprint of non-equilibrium conditions. In small-scale dissipative systems subject…

cond-mat.stat-mech2022★ 13 cited

Hyperaccurate bounds in discrete-state Markovian systems

Daniel Maria Busiello, Carlos Fiore

Generalized empirical currents represent a vast class of thermodynamic observables of mesoscopic systems. Their fluctuations satisfy the thermodynamic uncertainty relations (TURs),…

cond-mat.stat-mech2022

Mutual information in changing environments: non-linear interactions, out-of-equilibrium systems, and continuously-varying diffusivities

Giorgio Nicoletti, Daniel Maria Busiello

Biochemistry, ecology, and neuroscience are examples of prominent fields aiming at describing interacting systems that exhibit non-trivial couplings to complex, ever-changing envir…

cond-mat.stat-mech2022★ 14 cited

Information-driven transitions in projections of underdamped dynamics

Giorgio Nicoletti, Amos Maritan, Daniel M. Busiello

Low-dimensional representations of underdamped systems often provide insightful grasps and analytical tractability. Here, we build such representations via information projections,…