Statistical Mechanics of Dislocation Pileups in Two Dimensions
Grace H. Zhang, David R. Nelson

TL;DR
This paper develops a statistical mechanics framework for dislocation pileups in two-dimensional crystals, revealing phase transitions and structural changes linked to temperature and defect interactions, supported by analytical theory and random matrix models.
Contribution
It introduces a novel analytical approach to dislocation pileups using random matrix theory, uncovering phase transitions and structural properties in inhomogeneous defect lattices.
Findings
Identified thermal depinning transition from pinned to floating defect phases.
Derived exact critical exponents for structure factor and radial distribution functions.
Linked dislocation arrangements to eigenvalues of random matrix ensembles.
Abstract
Dislocation pileups directly impact the material properties of crystalline solids through the arrangement and collective motion of interacting dislocations. We study the statistical mechanics of these ordered defect structures embedded in two dimensional crystals, where the dislocations themselves form one-dimensional lattices. In particular, pileups exemplify a new class of inhomogeneous crystals characterized by spatially varying lattice spacings. By analytically formulating key statistical quantities and comparing our theory to numerical experiments using an intriguing mapping of dislocation positions onto the eigenvalues of recently studied random matrix ensembles, we uncover two types of one-dimensional phase transitions in dislocation pileups: a thermal depinning transition out of long-range translational order from the pinned-defect phase, due to a periodic Peierls potential, to…
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