TY - JOUR
T1 - The statistical physics of athermal materials
AU - Bi, Dapeng
AU - Henkes, Silke
AU - Daniels, Karen E.
AU - Chakraborty, Bulbul
PY - 2015/3/10
Y1 - 2015/3/10
N2 - 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 on only a few macroscopic parameters, such as temperature, pressure, volume, and energy. In this review, we discuss recent advances in establishing statistical ensembles for athermal materials. The broad class of granular and particulate materials is immune to 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.
AB - 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 on only a few macroscopic parameters, such as temperature, pressure, volume, and energy. In this review, we discuss recent advances in establishing statistical ensembles for athermal materials. The broad class of granular and particulate materials is immune to 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.
KW - athermal
KW - granular materials
KW - statistical physics
UR - http://www.scopus.com/inward/record.url?scp=84924422595&partnerID=8YFLogxK
U2 - 10.1146/annurev-conmatphys-031214-014336
DO - 10.1146/annurev-conmatphys-031214-014336
M3 - Article (Academic Journal)
AN - SCOPUS:84924422595
SN - 1947-5454
VL - 6
SP - 63
EP - 83
JO - Annual Review of Condensed Matter Physics
JF - Annual Review of Condensed Matter Physics
IS - 1
ER -