Dynamic overlap concentration scale of active colloids
Abstract
By introducing the notion of a dynamic overlap concentration scale, we identify additional universal features of the mechanical properties of active colloids. We codify these features by recognizing that the characteristic length scale of an active particle's trajectory, the run length, introduces a concentration scale ϕ∗. Large-scale simulations of repulsive active Brownian particles (ABPs) confirm that this run-length dependent concentration, the trajectory-space analog of the overlap concentration in polymer solutions, delineates distinct concentration regimes in which interparticle collisions alter particle trajectories. Using ϕ∗ and concentration scales associated with colloidal jamming, the mechanical equation of state for ABPs collapses onto a set of principal curves that contain several overlooked features. The inclusion of these features qualitatively alters previous predictions of the behavior for active colloids, as we demonstrate by computing the spinodal for a suspension of purely repulsive ABPs. Our findings suggest that dynamic overlap concentration scales should help unravel the behavior of active and driven systems.
Additional Information
© 2021 American Physical Society. Received 13 September 2020; revised 22 August 2021; accepted 6 October 2021; published 26 October 2021. S.A.M. acknowledges financial support from the Arnold and Mabel Beckman Foundation. A.K.O. acknowledges support from the Schmidt Science Fellowship in partnership with the Rhodes Trust. 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 this work.Attached Files
Published - PhysRevE.104.044612.pdf
Submitted - 2009.06092.pdf
Supplemental Material - Supplemental_Material_Dynamic_Overlap_Concentration_Scale_of_Active_Colloids.pdf
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Additional details
- Eprint ID
- 105785
- Resolver ID
- CaltechAUTHORS:20201005-103534186
- Arnold and Mabel Beckman Foundation
- Schmidt Science Fellowship
- Rhodes Trust
- NSF
- CBET-1803662
- NVIDIA Corporation
- Created
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2020-10-05Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field