Aging in the three-dimensional Random Field Ising Model
Sebastian von Ohr, Markus Manssen, Alexander K. Hartmann
TL;DR
This study investigates the aging dynamics of the three-dimensional Random Field Ising Model across phase transitions, utilizing large-scale simulations on Intel Xeon Phi coprocessors to analyze correlation functions and growth exponents.
Contribution
It provides the first large-scale simulation analysis of aging behavior in the 3D RFIM, revealing how aging varies with disorder strength and phase transition.
Findings
Aging behavior varies across the ferromagnetic-paramagnetic transition.
Large system sizes and long simulation times enable detailed analysis.
Correlation functions and exponents characterize the aging dynamics.
Abstract
We studied the nonequilibrium aging behavior of the Random Field Ising Model in three dimensions for various values of the disorder strength. This allowed us to investigate how the aging behavior changes across the ferromagnetic-paramagnetic phase transition. We investigated a large system size of spins and up to Monte Carlo sweeps. To reach these necessary long simulation times we employed an implementation running on Intel Xeon Phi coprocessors, reaching single spin flip times as short as 6 ps. We measured typical correlation functions in space and time to extract a growing length scale and corresponding exponents.
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