At the core of equilibrium statistical mechanics lies the notion of statistical ensembles: a collection of microstates, each occurring with a given a priori probability that depends only on a few macroscopic parameters such as temperature, pressure, volume, and energy. In this review article, we discuss recent advances in establishing statistical ensembles for athermal materials. The broad class of granular and particulate materials is immune from the effects of thermal fluctuations because the constituents are macroscopic. In addition, interactions between grains are frictional and dissipative, which invalidates the fundamental postulates of equilibrium statistical mechanics. However, granular materials exhibit distributions of microscopic quantities that are reproducible and often depend on only a few macroscopic parameters. We explore the history of statistical ensemble ideas in the context of granular materials, clarify the nature of such ensembles and their foundational principles, highlight advances in testing key ideas, and discuss applications of ensembles to analyze the collective behavior of granular materials.
|Number of pages||21|
|Journal||Annual Review of Condensed Matter Physics|
|Early online date||7 Apr 2014|
|Publication status||Published - Mar 2015|
Bi, D., Henkes, S., E. Daniels, K., & Chakraborty, B. (2015). The statistical physics of athermal materials. Annual Review of Condensed Matter Physics, 6, 63-83. https://doi.org/10.1146/annurev-conmatphys-031214-014336