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Long-chained surfactant solutions have found widespread use in the oil and gas industry due to a host of attractive properties. In this paper, we characterize one such commercially used viscoelastic surfactant that forms a wormlike micellar…

Soft Condensed Matter · Physics 2021-08-23 Ronak Gupta , Rodrigo Mitishita , Ian A. Frigaard , Gwynn J. Elfring

Magnetic rotational spectroscopy is based on the use of magnetic micron-size wires for viscosity measurements. Submitted to a rotational magnetic field with increasing frequency, the wires undergo a hydrodynamic instability between a…

Soft Condensed Matter · Physics 2021-09-21 Jean-François Berret

We use a hybrid method that combines the Multiparticle collision dynamics (MPCD) for solvent particles with the molecular dynamics for equilibrium polymers to simulate the shearing of the equilibrium polymers (or Wormlike micelles) at a…

Soft Condensed Matter · Physics 2018-09-17 Shaikh Mubeena

The frequency dependence of third-harmonic medium amplitude oscillatory shear (MAOS) modulus $G_{33}^{*}(\omega)$ provides insight into material behavior and microstructure in the asymptotically nonlinear regime. Motivated by the difficulty…

Soft Condensed Matter · Physics 2022-08-31 Sachin Shanbhag , Yogesh M. Joshi

We introduce \emph{ReMatching}, a novel shape correspondence solution based on the functional maps framework. Our method, by exploiting a new and appropriate \emph{re}-meshing paradigm, can target shape-\emph{matching} tasks even on meshes…

Graphics · Computer Science 2025-03-14 Filippo Maggioli , Daniele Baieri , Emanuele Rodolà , Simone Melzi

Semantic overlap among land-cover categories, highly imbalanced label distributions, and complex inter-class co-occurrence patterns constitute significant challenges for multi-label remote-sensing image retrieval. In this article,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Amna Amir , Erchan Aptoula

It is often said that well-entangled and fast-breaking living polymers (such as wormlike micelles) exhibit a single relaxation time in their reptation dynamics, but the full story is somewhat more complicated. Understanding departures from…

Soft Condensed Matter · Physics 2024-07-11 Vickie Chen , Charles T. Drucker , Claire Love , Jonathon Peterson , Joseph Peterson

The mechanics of biological tissues mainly proceeds from the cell cortex rheology. A direct, explicit link between cortex rheology and tissue rheology remains lacking, yet would be instrumental in understanding how modulations of cortical…

Soft Condensed Matter · Physics 2022-09-16 Étienne Moisdon , Pierre Seez , Camille Noûs , François Molino , Philippe Marcq , Cyprien Gay

Morphogenesis involves complex shape changes of biological tissues. Yet, tissue shape changes depend on tissue rheology, which in turn arises from the interplay of large numbers of cells. Here, we link cell- and tissue-scale mechanics by…

Soft Condensed Matter · Physics 2026-02-27 Shalabh Kumar Anand , Matthias Merkel

Soft particulate gels can reversibly yield when sufficient deformation is applied, and the characteristics of this transition can be enhanced or limited by designing hybrid hydrogel composites. While the microscopic dynamics and macroscopic…

Soft Condensed Matter · Physics 2022-11-09 Gavin J. Donley , Minaspi Bantawa , Emanuela Del Gado

The concept of a `persistent worm' is introduced, representing the smallest possible length of a wormlike micelle, and modelled by a bead-spring chain with sticky beads at the ends. Persistent worms are allowed to combine with each other at…

Soft Condensed Matter · Physics 2025-10-14 Avishek Kumar , Rico F. Tabor , P. Sunthar , J. Ravi Prakash

Unentangled wormlike micelle solutions relax stress through a dynamic interplay of reversible scission and intrachain relaxation involving a hierarchy of molecular timescales whose relationship to linear viscoelastic response remains…

Soft Condensed Matter · Physics 2026-04-24 Avishek Kumar , Rico F Tabor , P. Sunthar , J. Ravi Prakash

We develop and test methods that include second and third-order perturbation theory (MP3) using orbitals obtained from regularized orbital-optimized second-order perturbation theory, $\kappa$-OOMP2, denoted as MP3:$\kappa$-OOMP2. Testing…

Chemical Physics · Physics 2019-10-15 Luke W. Bertels , Joonho Lee , Martin Head-Gordon

Numerical investigation of compressible flows faces two main challenges. In order to accurately describe the flow characteristics, high-resolution nonlinear numerical schemes are needed to capture discontinuities and resolve wide…

Computational Physics · Physics 2020-12-09 Nils Hoppe , Stefan Adami , Nikolaus A. Adams

Many wormlike micellar systems exhibit appreciable shear thinning due to shear induced alignment. As the micelles get aligned introducing directionality in the system, the viscoelastic properties are no longer expected to be isotropic. An…

Soft Condensed Matter · Physics 2011-05-09 Manas Khan , A. K. Sood

We characterize the scale-dependent rheological properties of mucus from the Chaetopterus marine worm and determine the intrinsic lengthscales controlling distinct rheological and structural regimes. Mucus produced by this ubiquitous filter…

We present large scale computer simulations of the nonlinear bulk rheology of lamellar phases (smectic liquid crystals) at moderate to large values of the shear rate (Peclet numbers 10-100), in both two and three dimensions. In two…

Soft Condensed Matter · Physics 2012-03-15 O. Henrich , K. Stratford , D. Marenduzzo , P. V. Coveney , M. E. Cates

A mesoscopic model of a diblock copolymer is used to study the stability of a uniform lamellar phase under a reciprocating shear flow. Approximate viscosity contrast between the microphases is allowed through a linear dependence of the…

Soft Condensed Matter · Physics 2009-11-07 Peilong Chen , Jorge Vinals

In order to investigate the rheological properties of viscoelastic fluids by mesoscopic hydrodynamics methods, we develop a multi-particle collision dynamics (MPC) model for a fluid of harmonic dumbbells. The algorithm consists of…

Soft Condensed Matter · Physics 2008-11-05 Yu-Guo Tao , Ingo O. Goetze , Gerhard Gompper

We present a new nonlinear dimensionality reduction method, MAPLE, that enhances UMAP by improving manifold modeling. MAPLE employs a self-supervised learning approach to more efficiently encode low-dimensional manifold geometry. Central to…

Machine Learning · Computer Science 2026-05-15 Zeyang Huang , Takanori Fujiwara , Angelos Chatzimparmpas , Wandrille Duchemin , Andreas Kerren