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20172026
most citedMitigating the Hubbard Sign Problem with Complex-Valued Neural Networks

19 citations · 22 across the 5 of their papers we have counts for

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6 papers · 1 filter

cond-mat.str-el2024★ 2 cited

Single Particle Spectrum of Doped -Perylene

Marcel Rodekamp, Evan Berkowitz, Christoph Gäntgen +4

We present a Hamiltonian Monte Carlo study of doped perylene described with the Hubbard model. Doped perylene can be used for organic light-emittin…

cond-mat.str-el2021★ 1 cited

The Semimetal-Antiferromagnetic Mott Insulator Quantum Phase Transition of the Hubbard Model on the Honeycomb Lattice

Johann Ostmeyer, Evan Berkowitz, Stefan Krieg +3

The Hubbard model on the honeycomb lattice undergoes a quantum phase transition from a semimetallic to a Mott insulating phase and from a disordered to an anti-ferromagnetically ph…

cond-mat.str-el2021

The Antiferromagnetic Character of the Quantum Phase Transition in the Hubbard Model on the Honeycomb Lattice

Johann Ostmeyer, Evan Berkowitz, Stefan Krieg +3

We provide a unified, comprehensive treatment of all operators that contribute to the anti-ferromagnetic, ferromagnetic, and charge-density-wave structure factors and order paramet…

cond-mat.str-el2020

Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems

Jan-Lukas Wynen, Evan Berkowitz, Stefan Krieg +2

Lattice Monte Carlo calculations of interacting systems on non-bipartite lattices exhibit an oscillatory imaginary phase known as the phase or sign problem, even at zero chemical p…

cond-mat.str-el2020

The Semimetal-Mott Insulator Quantum Phase Transition of the Hubbard Model on the Honeycomb Lattice

Johann Ostmeyer, Evan Berkowitz, Stefan Krieg +3

We take advantage of recent improvements in the grand canonical Hybrid Monte Carlo algorithm, to perform a precision study of the single-particle gap in the hexagonal Hubbard model…

cond-mat.str-el2018

Accelerating Hybrid Monte Carlo simulations of the Hubbard model on the hexagonal lattice

Stefan Krieg, Thomas Luu, Johann Ostmeyer +2

We present different methods to increase the performance of Hybrid Monte Carlo simulations of the Hubbard model in two-dimensions. Our simulations concentrate on a hexagonal lattic…