39 citations · 69 across the 5 of their papers we have counts for
6 papers
Linking physics and algorithms in the random-field Ising model
Jan H. Meinke, A. Alan Middleton
The energy landscape for the random-field Ising model (RFIM) is complex, yet algorithms such as the push-relabel algorithm exist for computing the exact ground state of an RFIM sam…
Exploring optimization for the random-field Ising model
D. Clay Hambrick, Jan H. Meinke, A. Alan Middleton
The push-relabel algorithm can be used to calculate rapidly the exact ground states for a given sample with a random-field Ising model (RFIM) Hamiltonian. Although the algorithm is…
Improved extremal optimization for the Ising spin glass
A. Alan Middleton
A version of the extremal optimization (EO) algorithm introduced by Boettcher and Percus is tested on 2D and 3D spin glasses with Gaussian disorder. EO preferentially flips spins t…
Driven depinning of strongly disordered media and anisotropic mean-field limits
M. Cristina Marchetti, A. Alan Middleton, Karl Saunders +1
Extended systems driven through strong disorder are modeled generically using coarse-grained degrees of freedom that interact elastically in the directions parallel to the driving…
Scaling, domains, and states in the four-dimensional random field Ising magnet
A. Alan Middleton
The four dimensional Gaussian random field Ising magnet is investigated numerically at zero temperature, using samples up to size , to test scaling theories and to investigat…
The three-dimensional random field Ising magnet: interfaces, scaling, and the nature of states
A. Alan Middleton, Daniel S. Fisher
The nature of the zero temperature ordering transition in the 3D Gaussian random field Ising magnet is studied numerically, aided by scaling analyses. In the ferromagnetic phase th…