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Related papers: Probing the transition from dislocation jamming to…

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Plastic deformation, at all strain rates, is accommodated by the collective motion of crystalline defects known as dislocations. Here, we extend an analysis for the energetic stability of a straight dislocation, the so-called line tension…

Materials Science · Physics 2018-08-29 Daniel N. Blaschke , Benjamin A. Szajewski

Jamming is a ubiquitous phenomenon that appears in many soft matter systems, including granular materials, foams, colloidal suspensions, emulsions, polymers, and cells -- when jamming occurs, the system undergoes a transition from flow-like…

Soft Condensed Matter · Physics 2023-12-12 Deng Pan , Yinqiao Wang , Hajime Yoshino , Jie Zhang , Yuliang Jin

By minimizing the enthalpy of packings of frictionless particles, we obtain jammed solids at desired pressures and hence investigate the jamming transition with and without shear. Typical scaling relations of the jamming transition are…

Soft Condensed Matter · Physics 2018-08-01 Wen Zheng , Shiyun Zhang , Ning Xu

We introduce a class of simple models for shear thickening and/ or `jamming' in colloidal suspensions. These are based on schematic mode coupling theory (MCT) of the glass transition, having a memory term that depends on a density variable,…

Soft Condensed Matter · Physics 2015-06-24 C B Holmes , M E Cates , M Fuchs , P Sollich

We describe the asymptotic states for the solutions of a nonlocal equation of evolutionary type, which have the physical meaning of the atom dislocation function in a periodic crystal. More precisely, we can describe accurately the…

Analysis of PDEs · Mathematics 2016-09-16 Stefania Patrizi , Enrico Valdinoci

We numerically examine the transport of active run-and-tumble particles driven with a drift force over random disordered landscapes comprised of fixed obstacles. For increasing run lengths, the net particle transport initially increases…

Soft Condensed Matter · Physics 2017-12-06 C. Reichhardt , C. J. Olson Reichhardt

We give a bird's-eye view of the plastic deformation of crystals aimed at the statistical physics community, and a broad introduction into the statistical theories of forced rigid systems aimed at the plasticity community. Memory effects in…

Using numerical simulations, we examine the nonlinear dynamics of skyrmions driven over random pinning. For weak pinning, the skyrmions depin elastically, retaining sixfold ordering; however, at the onset of motion there is a dip in the…

Mesoscale and Nanoscale Physics · Physics 2019-03-27 C. Reichhardt , C. J. O. Reichhardt

Fracture processes in multi-phase solids are inherently complex due to multiple competing mechanisms. Here, we investigate the elastic and fracture behaviour of two-phase solids, comprising a fragile phase and a tough phase using a…

Statistical Mechanics · Physics 2025-06-17 Subrat Senapati , Anuradha Banerjee , R Rajesh

Although glassy relaxation is typically associated with disorder, here we report on a new type of glassy dynamics relating to dislocations within 2-D crystals of colloidal dimers. Previous studies have demonstrated that dislocation motion…

Soft Condensed Matter · Physics 2010-08-12 Sharon J. Gerbode , Umang Agarwal , Desmond C. Ong , Chekesha M. Liddell , Fernando Escobedo , Itai Cohen

We study the nature of the frictional jamming transition within the framework of rigidity percolation theory. Slowly sheared frictional packings are decomposed into rigid clusters and floppy regions with a generalization of the pebble game…

Soft Condensed Matter · Physics 2016-01-20 Silke Henkes , David A. Quint , Y. Fily , J. M. Schwarz

Depinning and nonequilibrium transitions within sliding states in systems driven over quenched disorder arise across a wide spectrum of size scales ranging from atomic friction at the nanoscale, flux motion in type-II superconductors at the…

Soft Condensed Matter · Physics 2017-03-22 Cs. Sándor , A. Libál , C. Reichhardt , C. J. Olson Reichhardt

Deformation twinning is a form of permanent deformation that is commonly observed in low symmetry crystals such as hexagonal close-packed (hcp) metals. With recent increased interest in using hcp metals, such as magnesium, in structural,…

Materials Science · Physics 2022-02-08 Eric Ocegueda , Kaushik Bhattacharya

This work introduces a model for large-strain, geometrically nonlinear elasto-plastic dynamics in single crystals. The key feature of our model is that the plastic dynamics are entirely driven by the movement of dislocations, that is,…

Materials Science · Physics 2022-02-11 Thomas Hudson , Filip Rindler

Crystalline defects, such as line-like dislocations, play an important role for the performance and reliability of many metallic devices. Their interaction and evolution still poses a multitude of open questions to materials science and…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Kishan Govind , Daniela Oliveros , Antonin Dlouhy , Marc Legros , Stefan Sandfeld

Dislocation-density-based crystal plasticity (CP) models are introduced to account for the microstructural changes throughout the deformation process, enabling more quantitative predictions of the deformation process compared to slip-system…

Materials Science · Physics 2025-07-24 Jalal Smiri , Oguz Umut Salman , Ioan R. Ionescu

It is well known that a binary system of non-active disks that experience driving in opposite directions exhibits jammed, phase separated, disordered, and laning states. In active matter systems, such as a crowd of pedestrians, driving in…

Soft Condensed Matter · Physics 2018-08-15 C. Reichhardt , J. Thibault , S. Papanikolaou , C. J. O. Reichhardt

We have explored isotropically jammed states of semi-2D granular materials through cyclic compression. In each compression cycle, systems of either identical ellipses or bi-disperse disks, transition between jammed and unjammed states. We…

Soft Condensed Matter · Physics 2013-09-30 Somayeh Farhadi , Robert P Behringer , Alex Z Zhu

Equations for dislocation evolution bridge the gap between dislocation properties and continuum descriptions of plastic behavior of crystalline materials. Computer simulations can help us verify these evolution equations and find their…

Materials Science · Physics 2020-11-11 Kamyar M. Davoudi , Joost J. Vlassak

Deep learning has been immensely successful at a variety of tasks, ranging from classification to AI. Learning corresponds to fitting training data, which is implemented by descending a very high-dimensional loss function. Understanding…

Disordered Systems and Neural Networks · Physics 2019-07-17 Mario Geiger , Stefano Spigler , Stéphane d'Ascoli , Levent Sagun , Marco Baity-Jesi , Giulio Biroli , Matthieu Wyart
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