中文
相关论文

相关论文: Periodic training of creeping solids

200 篇论文

Disordered elastic networks are a model material system in which it is possible to achieve tunable and trainable functions. This work investigates the modification of local mechanical properties in disordered networks inspired by allosteric…

软凝聚态物质 · 物理学 2025-01-10 Savannah D. Gowen

The elastic behavior of materials operating in the linear regime is constrained, by definition, to operations that are linear in the imposed deformation. Though the nonlinear regime holds promise for new functionality, the design in this…

软凝聚态物质 · 物理学 2020-12-15 Daniel Hexner

Training materials through periodic drive allows to endow materials and structures with complex elastic functions. As a result of the driving, the system explores the high dimensional space of structures, ultimately converging to a…

软凝聚态物质 · 物理学 2023-08-10 Himangsu Bhaumik , Daniel Hexner

Elastic metamaterials are often designed for a single permanent function. We explore the possibility of altering a material's function repeatedly through a self-organization, "training" process, controlled by applied strains. We show that…

软凝聚态物质 · 物理学 2021-03-16 Daniel Hexner

We present a microscopic model of a disordered viscoelastic active solid, i.e. an active material whose long time behaviour is elastic as opposed to viscous. It is composed of filaments, passive crosslinks and molecular motors powered by…

软凝聚态物质 · 物理学 2014-07-15 Rhoda J. Hawkins , Tanniemola B. Liverpool

In this letter, we develop a framework to study the mechanical response of athermal amorphous solids via a coupling of mesoscale and microscopic models. Using measurements of coarse grained quantities from simulations of dense disordered…

软凝聚态物质 · 物理学 2021-04-07 Chen Liu , Suman Dutta , Pinaki Chaudhuri , Kirsten Martens

Soft electronics have recently gathered considerable interest thanks to their bio-mechanical compatibility. An important feature of such deformable conductors is their electrical response to strain. While development of stretchable…

软凝聚态物质 · 物理学 2025-11-14 Louis Martin-Monier , Pierre-Luc Piveteau , Fabien Sorin

The steady sliding state of periodic structures such as charge density waves and flux line lattices is numerically studied based on two and three dimensional driven random field XY models. We focus on the dynamical phase transition between…

无序系统与神经网络 · 物理学 2009-11-11 Tomoaki Nogawa , Hajime Yoshino , Hiroshi Matsukawa

When an amorphous solid is deformed cyclically, it may reach a steady state in which the paths of constituent particles trace out closed loops that repeat in each driving cycle. A remarkable variant has been noticed in simulations where the…

软凝聚态物质 · 物理学 2021-08-26 Nathan C. Keim , Joseph D. Paulsen

Active materials are capable of converting free energy into mechanical work to produce autonomous motion, and exhibit striking collective dynamics that biology relies on for essential functions. Controlling those dynamics and transport in…

Disordered mechanical systems can deform along a network of pathways that branch and recombine at special configurations called bifurcation points. Multiple pathways are accessible from these bifurcation points; consequently, computer-aided…

软凝聚态物质 · 物理学 2023-02-22 Chukwunonso Arinze , Menachem Stern , Sidney R. Nagel , Arvind Murugan

Plasticity in amorphous materials, such as glasses, colloids, or granular materials, is mediated by local rearrangements called "soft spots". Experiments and simulations have shown that soft spots are two-state entities interacting via…

软凝聚态物质 · 物理学 2022-05-11 Asaf Szulc , Muhittin Mungan , Ido Regev

Treatises on vibrations devote large space to study the dynamical behavior of an elastic system subject to known external tractions. In fact, usually a "system" is not an isolated body but it is part of a chain of mechanisms which disturb…

最优化与控制 · 数学 2012-06-15 Luciano Pandolfi

Coupled learning is a contrastive scheme for tuning the properties of individual elements within a network in order to achieve desired functionality of the system. It takes advantage of physics both to learn using local rules and to…

软凝聚态物质 · 物理学 2024-07-09 Lauren E. Altman , Menachem Stern , Andrea J. Liu , Douglas J. Durian

We study a disordered network of bistable bonds subjected to periodic strain. The model is inspired by experiments on crumpled sheets and it features behaviors associated with glasses, including a complex energy landscape, memories, and…

软凝聚态物质 · 物理学 2025-07-18 Sheng Huang , Daniel Hexner

Plastic deformation of micron-scale crystalline solids exhibits stress-strain curves with significant sample-to-sample variations. It is a pertinent question if this variability is purely random or to some extent predictable. Here we show,…

无序系统与神经网络 · 物理学 2020-01-31 Henri Salmenjoki , Mikko J. Alava , Lasse Laurson

Crystallography typically studies collections of point particles whose interaction forces are the gradient of a potential. Lifting this assumption generically gives rise in the continuum limit to a form of elasticity with additional moduli…

软凝聚态物质 · 物理学 2021-12-30 Lara Braverman , Colin Scheibner , Bryan VanSaders , Vincenzo Vitelli

We review the depinning and nonequilibrium phases of collectively interacting particle systems driven over random or periodic substrates. This type of system is relevant to vortices in type-II superconductors, sliding charge density waves,…

超导电性 · 物理学 2017-12-06 C. Reichhardt , C. J. Olson Reichhardt

Recent advances in designing meta-materials have demonstrated that global mechanical properties of disordered spring networks can be tuned by selectively modifying only a small subset of bonds. Here, using a computationally-efficient…

We study strain-controlled plastic deformation of crystalline solids via two-dimensional discrete dislocation dynamics simulations. To this end, we characterize the average stress-strain curves as well as the statistical properties of…

材料科学 · 物理学 2021-09-01 David Kurunczi-Papp , Lasse Laurson
‹ 上一页 1 2 3 10 下一页 ›