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Published February 21, 2023 | Supplemental Material
Journal Article Open

Tuning nonequilibrium phase transitions with inertia

Abstract

In striking contrast to equilibrium systems, inertia can profoundly alter the structure of active systems. Here, we demonstrate that driven systems can exhibit effective equilibrium-like states with increasing particle inertia, despite rigorously violating the fluctuation–dissipation theorem. Increasing inertia progressively eliminates motility-induced phase separation and restores equilibrium crystallization for active Brownian spheres. This effect appears to be general for a wide class of active systems, including those driven by deterministic time-dependent external fields, whose nonequilibrium patterns ultimately disappear with increasing inertia. The path to this effective equilibrium limit can be complex, with finite inertia sometimes acting to accentuate nonequilibrium transitions. The restoration of near equilibrium statistics can be understood through the conversion of active momentum sources to passive-like stresses. Unlike truly equilibrium systems, the effective temperature is now density dependent, the only remnant of the nonequilibrium dynamics. This density-dependent temperature can in principle introduce departures from equilibrium expectations, particularly in response to strong gradients. Our results provide additional insight into the effective temperature ansatz while revealing a mechanism to tune nonequilibrium phase transitions.

Additional Information

© 2023 Author(s). Published under an exclusive license by AIP Publishing. We dedicate this paper to the memory of our late friend, colleague, and mentor, Phill Geissler. We acknowledge helpful discussions with Cory Hargus, Kranthi Mandadapu, and Keith Burnett. P.L.G. was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, through the Chemical Sciences Division (CSD) of Lawrence Berkeley National Laboratory (LBNL), under Contract No. DE-AC02-05CH11231. J.F.B. acknowledges support by the National Science Foundation under Grant No. CBET-1803662. We gratefully acknowledge the support of the NVIDIA Corporation for the donation of the Titan V GPU used to carry out part of this work. Author Contributions: Ahmad K. Omar: Conceptualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Katherine Klymko: Conceptualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Trevor GrandPre: Conceptualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Phillip L. Geissler: Conceptualization (equal); Writing – original draft (equal); Writing – review & editing (equal). John F. Brady: Conceptualization (equal); Writing – original draft (equal); Writing – review & editing (equal). DATA AVAILABILITY. The data that support the findings of this study are available from the corresponding author upon reasonable request. The authors have no conflicts to disclose.

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Created:
August 22, 2023
Modified:
October 25, 2023