32 citations · 36 across the 7 of their papers we have counts for
7 papers
Graphene/hBN heterostructure based Valley transistor: Dynamic Control of valley current in synchronized nonzero voltages, within the time-dependent regime
A. Belayadi, C. I. Osuala, I. Assi +3
Graphene/hexagonal boron nitride (hBN) heterostructures represent a promising class of metal-insulator-semiconductor systems widely explored for multifunctional digital device appl…
Computation Kernel for Feynman Diagrams
Daria Gazizova, Rayan Farid, B. D. E. McNiven +3
We present a general representation for solving problems in many-body perturbation theory. By projecting the single-particle Green's function to an auxiliary space we show how one…
Lifshitz transition and triplet -wave pairing from the induced ferromagnetic plaquette via spin differentiated nonlocal interaction
Rayan Farid, Daria Gazizova, B. D. E. McNiven +1
We study the two-dimensional extended Hubbard model on a square lattice and incorporate spin-differentiated nearest neighbor (NN) interactions where the equal-spin () and u…
Feynman diagrammatics based on discrete pole representations: A path to renormalized perturbation theories
Daria Gazizova, Lei Zhang, Emanuel Gull +1
By merging algorithmic Matsubara integration with discrete pole representations we present a procedure to generate fully analytic closed form results for impurity problems at fixed…
Pairing susceptibility in the weakly interacting multilayer Hubbard model evaluated by direct perturbative expansion
Rayan Farid, J. P. F. LeBlanc
We present a systematic study of the interaction, doping, and layer dependence of the -wave pairing susceptibility of the Hubbard model for a stacked 2D square lattice…
TorchAmi: Generalized CPU/GPU Implementation of Algorithmic Matsubara Integration
M. D. Burke, J. P. F. LeBlanc
We present torchami, an advanced implementation of algorithmic Matsubara integration (AMI) that utilizes pytorch as a backend to provide easy parallelization and GPU support. AMI i…
Optimal grouping of arbitrary diagrammatic expansions via analytic pole structure
Amir Taheridehkordi, S. H. Curnoe, J. P. F. LeBlanc
We present a general method to optimize the evaluation of Feynman diagrammatic expansions, which requires the automated symbolic assignment of momentum/energy conserving variables…