Dissipation controls transport and phase transitions in active fluids: mobility, diffusion and biased ensembles

Fodor, Étienne; Nemoto, Takahiro; Vaikuntanathan, Suriyanarayanan

doi:10.1088/1367-2630/ab6353

Cited by 61 publications

(66 citation statements)

References 118 publications

(261 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For ABPs biased by the active work, the collective motion at large W shows that local alignment is an effective route towards efficient swimming (94,105), suggesting a design strategy to achieve active particles with desired properties. Similar arguments explain the coupling of active work to local density and hence to phase separation, because crowding reduces the particles' swimming speed, as found by fluctuating hydrodynamic arguments (94,113,106), perturbative calculations (81,80) and variational computations (112,113). Many other active systems couple alignment, density, and work by similar mechanisms; so this behavior under bias should be generic.…”

Section: Dynamical Bias and Optimal Controlmentioning

confidence: 57%

“…In practice, some detailed scalings can be obtained for isotopic pairwise interactions of the form U = i<j V (ri − rj). For weak interactions, namely when the amplitude of V is small compared to those of thermal noise and self-propulsion, S − becomes linear in ρ (80). In general, it can be written in terms of density correlations:…”

Section: Scaling Of Irreversibility With Dynamical Parameters For Gen...mentioning

confidence: 99%

“…Many other active systems couple alignment, density, and work by similar mechanisms; so this behavior under bias should be generic. Indeed, the results of (106,105,94,81,80,112) cover a range of different active systems, including lattice models as well as AOUPs and ABPs. Dynamical arrest in biased ensembles also has a counterpart in passive glassy systems (32,91,34), and can be explained by general principles that couple biasing fields to metastable states (34).…”

Section: Dynamical Bias and Optimal Controlmentioning

confidence: 99%

See 2 more Smart Citations

Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics

Fodor,

Jack,

Cates

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Active systems evade the rules of equilibrium thermodynamics by constantly dissipating energy at the level of their microscopic components. This energy flux stems from the conversion of a fuel, present in the environment, into sustained individual motion. It can lead to collective effects without any equilibrium equivalent, such as a phase separation for purely repulsive particles, or a collective motion (flocking) for aligning particles. Some of these effects can be rationalized by using equilibrium tools to recapitulate nonequilibrium transitions. An important challenge is then to delineate systematically to which extent the character of these active transitions is genuinely distinct from equilibrium analogs. We review recent works that use stochastic thermodynamics tools to identify, for active systems, a measure of irreversibility comprising a coarse-grained or informatic entropy production. We describe how this relates to the underlying energy dissipation or thermodynamic entropy production, and how it is influenced by collective behavior. Then, we review the possibility to construct thermodynamic ensembles out-of-equilibrium, where trajectories are biased towards atypical values of nonequilibrium observables. We show that this is a generic route to discovering unexpected phase transitions in active matter systems, which can also inform their design.

show abstract

Section: Dynamical Bias and Optimal Controlmentioning

confidence: 57%

Section: Scaling Of Irreversibility With Dynamical Parameters For Gen...mentioning

confidence: 99%

Section: Dynamical Bias and Optimal Controlmentioning

confidence: 99%

See 1 more Smart Citation

Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics

Fodor,

Jack,

Cates

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…[41][42][43][44][45][46][47] In molecular models, similar analysis has been slower, though large deviations have recently been studied in glassy systems, [48][49][50][51][52] and active matter. [53][54][55][56] Recent advances reviewed here show that the application of large deviation theory to molecular transport models is now tractable.…”

Section: Introductionmentioning

confidence: 99%

A large deviation theory perspective on nanoscale transport phenomena

Limmer,

Gao,

Poggioli

2021

Preprint

View full text Add to dashboard Cite

Understanding transport processes in complex nanoscale systems, like ionic conductivities in nanofluidic devices or heat conduction in low dimensional solids, poses the problem of examining fluctuations of currents within nonequilibrium steady states and relating those fluctuations to nonlinear or anomalous responses. We have developed a systematic framework for computing distributions of time integrated currents in molecular models and relating cumulants of those distributions to nonlinear transport coefficients. The approach elaborated upon in this perspective follows from the theory of dynamical large deviations, benefits from substantial previous formal development, and has been illustrated in several applications. The framework provides a microscopic basis for going beyond traditional hydrodynamics in instances where local equilibrium assumptions break down, which are ubiquitous at the nanoscale.

show abstract

“…However, it has been shown recently that biasing the dynamics of non-aligning active particles is also a route to such a transition [23,24]. Interestingly, for aligning active particles, modulating the rate at which energy is pumped into the system can also induce the flocking transition [25,26].…”

mentioning

confidence: 99%

Thermodynamic Control of Activity Patterns in Cytoskeletal Networks

Lamtyugina¹,

Qiu²,

Fodor³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

We aim to identify the control principles governing the adaptable formation of non-equilibrium structures in actomyosin networks. We build a phenomenological model and predict that biasing the energy dissipated by molecular motors should effectively renormalize the motor-mediated interactions between actin filaments. Indeed, using methods from large deviation theory, we demonstrate that biasing energy dissipation is equivalent to modulating the motor rigidity and results in an aster-tobundle transition. From the simulation statistics, we extract a relation between the biasing parameter and the corresponding normalized motor rigidity. This work elucidates the relationship between energy dissipation, effective interactions, and pattern formation in active biopolymer networks, providing a control principle of cytoskeletal structure and dynamics.The actin cytoskeleton is a paradigm of adaptive biomaterials that efficiently and accurately sense various environmental inputs and respond to them [1]. This adaptive behavior is in part enabled by the rich non-equilibrium morphological states that the actin cytoskeleton can adopt by varying, for example, component concentrations [2, 3]. Indeed, actin networks have been observed in the form of contractile bundles [4], branched lamellipodium [5], and contractile mesh structures [6], among many others. These varied non-equilibrium morphological states control important biophysical properties of the cell, such as its structural integrity, motility, and signaling [7, 8].Efforts to unravel the driving forces responsible for sustaining the various non-equilibrium morphological states have relied on experiments [2, 9-13], simulations [14,15], and theory [16] of model systems with limited cytoskeletal elements. For instance, a model system composed of actin filaments and myosin motors transitions between actin bundles and asters when the actin filament lengths and myosin concentrations are varied [9]. Recent in vitro experiments with light-sensitive motors demonstrate that actin networks can be patterned when the motors are activated by light [11]. Microtubule-kinesin systems have also been shown to exhibit remarkable structural changes as component concentrations are tuned [17]. However, a thermodynamic understanding of the underlying control principles is yet to be achieved.Recent work on simple active matter systems has provided pointers to how such a non-equilibrium thermodynamic control framework could be developed using dynamical bias [18][19][20][21]. Specifically, the seminal flocking transition in a Vicsek-like model is typically achieved

show abstract

Dissipation controls transport and phase transitions in active fluids: mobility, diffusion and biased ensembles

Cited by 61 publications

References 118 publications

Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics

Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics

A large deviation theory perspective on nanoscale transport phenomena

Thermodynamic Control of Activity Patterns in Cytoskeletal Networks

Contact Info

Product

Resources

About