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Articles 64621 - 64650 of 294411
Full-Text Articles in Physical Sciences and Mathematics
Mgrre_Thinsections_12-A_87, Mgrre
Mgrre_Thinsections_12-A_76, Mgrre
Mgrre_Thinsections_12-A_88, Mgrre
Mgrre_Thinsections_12-A_89, Mgrre
Mgrre_Thinsections_12-A_90, Mgrre
Mgrre_Thinsections_12-A_92, Mgrre
Mgrre_Thinsections_12-A_93, Mgrre
Mgrre_Thinsections_12-A_94, Mgrre
Mgrre_Thinsections_12-A_95, Mgrre
Mgrre_Thinsections_12-A_97, Mgrre
Mgrre_Thinsections_12-A_98, Mgrre
Mgrre_Thinsections_12-A_84, Mgrre
Stripe Order, Impurities, And Symmetry Breaking In A Diluted Frustrated Magnet, Xuecheng Ye, Rajesh Narayanan, Thomas Vojta
Stripe Order, Impurities, And Symmetry Breaking In A Diluted Frustrated Magnet, Xuecheng Ye, Rajesh Narayanan, Thomas Vojta
Physics Faculty Research & Creative Works
We investigate the behavior of the frustrated J1-J2 Ising model on a square lattice under the influence of random dilution and spatial anisotropies. Spinless impurities generate a random-field type disorder for the spin-density wave (stripe) order parameter. These random fields destroy the long-range stripe order in the case of spatially isotropic interactions. Combining symmetry arguments, percolation theory, and large-scale Monte Carlo simulations, we demonstrate that arbitrarily weak spatial interaction anisotropies restore the stripe phase. More specifically, the transition temperature Tc into the stripe phase depends on the interaction anisotropy ΔJ via Tc∼1/|ln(ΔJ)| for small …
Mgrre_Thinsections_12-A_20, Mgrre
Mgrre_Thinsections_12-A_54, Mgrre
Mgrre_Thinsections_12-A_13, Mgrre
Mgrre_Thinsections_12-A_38, Mgrre
Mgrre_Thinsections_12-A_41, Mgrre
Mgrre_Thinsections_12-A_63, Mgrre
Mgrre_Thinsections_12-A_71, Mgrre
Mgrre_Thinsections_12-A_73, Mgrre
Mgrre_Thinsections_12-A_75, Mgrre
Mgrre_Thinsections_12-A_83, Mgrre
Mgrre_Thinsections_12-A_14, Mgrre
Mgrre_Thinsections_12-A_78, Mgrre
Mgrre_Thinsections_12-A_91, Mgrre
Distributed Matrix Tiling Using A Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, Guoli Ding
Distributed Matrix Tiling Using A Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, Guoli Ding
Computer Science Faculty Research & Creative Works
Partitioning large matrices is an important problem in distributed linear algebra computing, used in ML among others. Briefly, our goal is to perform a sequence of matrix algebra operations in a distributed manner on these large matrices. However, not all partitioning schemes work well with different matrix algebra operations and their implementations (algorithms). This is a type of data tiling problem. In this paper we consider a data tiling problem using hypergraphs. We prove some hardness results and give a theoretical characterization of its complexity on random instances. Additionally, we develop a greedy algorithm and experimentally show its efficacy.
Mgrre_Thinsections_12-A_18, Mgrre
Mgrre_Thinsections_12-A_30, Mgrre
Mgrre_Thinsections_12-A_49, Mgrre