Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Busiello, Daniel M."'
Biological and artificial systems encode information through several complex nonlinear operations, making their exact study a formidable challenge. These internal mechanisms often take place across multiple timescales and process external signals to
Externí odkaz:
http://arxiv.org/abs/2411.11710
Real-world systems are shaped by both their complex internal interactions and the changes in their noisy environments. In this work, we study how a shared active bath affects the statistical dependencies between two interacting Brownian particles by
Externí odkaz:
http://arxiv.org/abs/2410.06057
One of the hypothesized functions of biomolecular condensates is to act as chemical reactors, where chemical reactions can be modulated, i.e. accelerated or slowed down, while substrate molecules enter and products exit from the condensate. Likewise,
Externí odkaz:
http://arxiv.org/abs/2406.19266
Publikováno v:
Phys. Rev. E 106, 014118 (2022)
Low-dimensional representations of underdamped systems often provide insightful grasps and analytical tractability. Here, we build such representations via information projections, obtaining an optimal model that captures the most information on obse
Externí odkaz:
http://arxiv.org/abs/2202.11067
Autor:
Gupta, Deepak, Busiello, Daniel M.
Publikováno v:
Phys. Rev. E 102, 062121 (2020)
We consider a general discrete state-space system with both unidirectional and bidirectional links. In contrast to bidirectional links, there is no reverse transition along the unidirectional links. Herein, we first compute the statistical length and
Externí odkaz:
http://arxiv.org/abs/2009.11115
Publikováno v:
Phys. Rev. Research 2, 043257 (2020)
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 partic
Externí odkaz:
http://arxiv.org/abs/2007.00283
Publikováno v:
New J. Phys. 21 073004 (2019)
Systems out of equilibrium exhibit a net production of entropy. We study the dynamics of a stochastic system represented by a Master Equation that can be modeled by a Fokker-Planck equation in a coarse-grained, mesoscopic description. We show that th
Externí odkaz:
http://arxiv.org/abs/1810.01833
A system that violates detailed balance evolves asymptotically into a nonequilibrium steady state with non-vanishing currents. Analogously, when detailed balance holds at any instant of time but the system is driven through time-periodic variations o
Externí odkaz:
http://arxiv.org/abs/1807.04104
A new class of patterns for multiplex networks is studied, which consists in a collection of different homogeneous states each referred to a distinct layer. The associated stability diagram exhibits a tricritical point, as a function of the inter-lay
Externí odkaz:
http://arxiv.org/abs/1801.08487
Publikováno v:
Phys. Rev. E 96, 062110 (2017)
We study the entropy production of a system with a finite number of states connected by random transition rates. The stationary entropy production, driven out of equilibrium both by asymmetric transition rates and by an external probability current,
Externí odkaz:
http://arxiv.org/abs/1708.02262