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Odd Droplets: Fluids with Odd Viscosity and Highly Deformable Interfaces

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arxiv 2503.21649 v1 pith:LLCP7KVF submitted 2025-03-27 cond-mat.soft physics.flu-dyn

classification cond-mat.softphysics.flu-dyn
keywords viscositydeformablefluidsinterfaceschiraldemonstrateflowsfluid
verification ladder T0 review T1 audit T2 compute T3 formal
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Flows with deformable interfaces are commonly controlled by applying an external field or modifying the boundaries that interact with the fluid, but realizing such solutions can be demanding or impractical in various scenarios. Here, we demonstrate that fluids with broken symmetries can self-control their mechanics. We present a continuum model of a viscous fluid with highly deformable interfaces subject to capillary stresses. Our model features odd viscosity, a parity-violating property that emerges in chiral fluids. Using direct numerical simulations, we focus on the impact of an odd droplet on a superhydrophobic surface. We demonstrate that odd viscosity dramatically disrupts conventional symmetric spreading by inducing asymmetric deformations and chiral flow patterns. Our analysis reveals a variety of dynamic regimes, including leftward and rightward bouncing, as well as rolling, depending on the relative strength of the odd viscosity. Our work illustrates that regulating odd viscosity provides a promising framework for controlling multiphase flows and designing functional metamaterials with tailored fluidic properties.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Odd elasticity in disordered chiral active materials

    cond-mat.soft 2025-08 conditional novelty 7.0 of 10

    A minimal model shows that local active torques in a disordered elastic solid produce odd elasticity, and coupling to a spinning fluid can enable wave propagation even in overdamped materials.

  2. Efficient Federated Conformal Prediction with Group-Conditional Guarantee

    cs.LG 2026-03 unverdicted novelty 4.0 of 10

    GC-FCP builds mergeable atom-stratified coresets of local calibration scores so a server can form group-conditional conformal sets without pooling raw data.

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