Microstructure from ferroelastic transitions using strain pseudospin clock models in two and three dimensions: A local mean-field analysis
Romain Vasseur, Turab Lookman, and Subodh R. Shenoy
Phys. Rev. B 82, 094118 (2010) - Published 30 September, 2010
We show how microstructure can arise in first-order ferroelastic structural transitions, in two and three spatial dimensions, through a local mean-field approximation of their pseudospin Hamiltonians, that include anisotropic elastic interactions. Such transitions have symmetry-selected physical strains as their -component order parameters, with Landau free energies that have a single zero-strain “austenite” minimum at high temperatures, and spontaneous-strain “martensite” minima of structural variants at low temperatures. The total free energy also has gradient terms, and power-law anisotropic effective interactions, induced by “no-dislocation” St Venant compatibility constraints. In a reduced description, the strains at Landau minima induce temperature dependent, clocklike Hamiltonians, with -component strain-pseudospin vectors pointing to discrete values (including zero). We study elastic texturing in five such first-order structural transitions through a local mean-field approximation of their pseudospin Hamiltonians, that include the power-law interactions. As a prototype, we consider the two-variant square/rectangle transition, with a one-component pseudospin taking values of , as in a generalized Blume-Capel model. We then consider transitions with two-component pseudospins: the equilateral to centered rectangle ; the square to oblique polygon ; the triangle to oblique transitions; and finally the three-dimensional (3D) cubic to tetragonal transition . The local mean-field solutions in two-dimensional and 3D yield oriented domain-wall patterns as from continuous-variable strain dynamics, showing the discrete-variable models capture the essential ferroelastic texturings. Other related Hamiltonians illustrate that structural transitions in materials science can be the source of interesting spin models in statistical mechanics.