Emergent marginality in frustrated multistable networks.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2025-03-21 DOI:10.1063/5.0255042
Dor Shohat, Yoav Lahini, Daniel Hexner
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Abstract

We study disordered networks of coupled bistable elastic elements, representing a coarse-grained view of amorphous solids. We find that such networks self-organize to a marginally stable state, in which the barrier for local activations becomes vanishingly small. The model provides unique access to both local and global properties associated with marginal stability. We directly measure pseudo-gaps in the spectrum of local excitations, as well as diverging fluctuations under shear. Crucially, the dynamics are dominated by a small population of bonds that are locally unstable, which give rise to quasi-localized, low-frequency vibrational modes and scale-free avalanches of instabilities. We propose a correction to the scaling between the pseudo-gap exponent and avalanche statistics based on diverging length fluctuations. Our model combines a coarse-grained view with a continuous, real-space implementation, providing novel insights to a wide class of amorphous solids.

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受挫多稳定网络中的突现边缘性。
我们研究了耦合双稳弹性元件的无序网络,代表了非晶固体的粗粒度观点。我们发现这样的网络自组织到一个边缘稳定的状态,在这个状态下,局部激活的障碍变得越来越小。该模型提供了与边际稳定性相关的局部和全局性质的唯一途径。我们直接测量了局部激发谱中的伪间隙,以及剪切作用下的发散波动。至关重要的是,动力学是由一小群局部不稳定的键控制的,这些键会产生准局域的低频振动模式和无标度的不稳定雪崩。我们提出了一种基于发散长度波动的伪间隙指数和雪崩统计量之间的尺度校正方法。我们的模型将粗粒度视图与连续的实空间实现相结合,为广泛的非晶态固体提供了新的见解。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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