References of "Tociu, Laura"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailFrom predicting to learning dissipation from pair correlations of active liquids
Rassolov, Gregory; Tociu, Laura; Fodor, Etienne UL et al

in Journal of Chemical Physics (2022)

Active systems, which are driven out of equilibrium by local non-conservative forces, can adopt unique behaviors and configurations. An important challenge in the design of novel materials, which utilize ... [more ▼]

Active systems, which are driven out of equilibrium by local non-conservative forces, can adopt unique behaviors and configurations. An important challenge in the design of novel materials, which utilize such properties, is to precisely connect the static structure of active systems to the dissipation of energy induced by the local driving. Here, we use tools from liquid-state theories and machine learning to take on this challenge. We first analytically demonstrate for an isotropic active matter system that dissipation and pair correlations are closely related when driving forces behave like an active temperature. We then extend a nonequilibrium mean-field framework for predicting these pair correlations, which unlike most existing approaches is applicable even for strongly interacting particles and far from equilibrium, to predicting dissipation in these systems. Based on this theory, we reveal a robust analytic relation between dissipation and structure, which holds even as the system approaches a nonequilibrium phase transition. Finally, we construct a neural network that maps static configurations of particles to their dissipation rate without any prior knowledge of the underlying dynamics. Our results open novel perspectives on the interplay between dissipation and organization out of equilibrium. [less ▲]

Detailed reference viewed: 21 (1 UL)
Full Text
Peer Reviewed
See detailMean-field theory for the structure of strongly interacting active liquids
Tociu, Laura; Rassolov, Gregory; Fodor, Etienne UL et al

in Journal of Chemical Physics (2022)

Active systems, which are driven out of equilibrium by local non-conservative forces, exhibit unique behaviors and structures with potential utility for the design of novel materials. An important and ... [more ▼]

Active systems, which are driven out of equilibrium by local non-conservative forces, exhibit unique behaviors and structures with potential utility for the design of novel materials. An important and difficult challenge along the path toward this goal is to precisely predict how the structure of active systems is modified as their driving forces push them out of equilibrium. Here, we use tools from liquid-state theories to approach this challenge for a classic minimal active matter model. First, we construct a nonequilibrium mean-field framework that can predict the structure of systems of weakly interacting particles. Second, motivated by equilibrium solvation theories, we modify this theory to extend it with surprisingly high accuracy to systems of strongly interacting particles, distinguishing it from most existing similarly tractable approaches. Our results provide insight into spatial organization in strongly interacting out-of-equilibrium systems. [less ▲]

Detailed reference viewed: 20 (1 UL)
Full Text
Peer Reviewed
See detailHow Dissipation Constrains Fluctuations in Nonequilibrium Liquids: Diffusion, Structure, and Biased Interactions
Tociu, Laura; Fodor, Etienne UL; Nemoto, Takahiro et al

in PHYSICAL REVIEW X (2019), 9(4),

The dynamics and structure of nonequilibrium liquids, driven by nonconservative forces which can be either external or internal generically hold the signature of the net dissipation of energy in the ... [more ▼]

The dynamics and structure of nonequilibrium liquids, driven by nonconservative forces which can be either external or internal generically hold the signature of the net dissipation of energy in the thermostat. Yet, disentangling precisely how dissipation changes collective effects remains challenging in many-body systems due to the complex interplay between driving and particle interactions. First, we combine explicit coarse-graining and stochastic calculus to obtain simple relations between diffusion, density correlations, and dissipation in nonequilibrium liquids. Based on these results, we consider large-deviation biased ensembles where trajectories mimic the effect of an external drive. The choice of the biasing function is informed by the connection between dissipation and structure derived in the first part. Using analytical and computational techniques, we show that biasing trajectories effectively renormalizes interactions in a controlled manner, thus providing intuition on how driving forces can lead to spatial organization and collective dynamics. Altogether, our results show how tuning dissipation provides a route to alter the structure and dynamics of liquids and soft materials. [less ▲]

Detailed reference viewed: 19 (2 UL)