Sickle Jordan J, Mook William M, DelRio Frank W, Ilgen Anastasia G, Wright Wendelin J, Dahmen Karin A
Department of Physics and Anthony J. Leggett Institute for Condensed Matter Theory, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA.
Microsystems Engineering, Science and Applications Center, Sandia National Laboratories, Albuquerque, NM, 87123, USA.
Nat Commun. 2024 Nov 6;15(1):9552. doi: 10.1038/s41467-024-53213-5.
In response to gradual nanoindentation, the surface of muscovite mica deforms by sudden stochastic nanometer-scale displacement bursts. Here, the statistics of these displacement events are interpreted using a statistical model previously used to model earthquakes to understand how chemically reactive environments alter the surface properties of this material. We show that the statistics of nanoindentation displacement bursts in muscovite mica are tuned by chemomechanical weakening in a manner similar to how the statistics of model events are tuned by a mechanical weakening parameter that describes how easily system-spanning cracks can be nucleated. Because the predictions of this model are independent of any surface defects or structural details, these results suggest this simple model can be universally used to describe chemomechanical weakening in many systems prone to slip avalanches on a wide range of spatio-temporal scales.
对于逐渐施加的纳米压痕，白云母云母的表面会通过突然的随机纳米级位移爆发而变形。在此，这些位移事件的统计数据使用先前用于模拟地震的统计模型进行解释，以了解化学反应环境如何改变这种材料的表面性质。我们表明，白云母云母中纳米压痕位移爆发的统计数据通过化学机械弱化进行调整，其方式类似于模型事件的统计数据通过一个机械弱化参数进行调整，该参数描述了跨越系统的裂纹成核的难易程度。由于该模型的预测与任何表面缺陷或结构细节无关，这些结果表明这个简单的模型可以普遍用于描述许多在广泛的时空尺度上容易发生滑动雪崩的系统中的化学机械弱化。
