Zobrazeno 1 - 10 of 37 pro vyhledávání: '"M. V. Ulybyshev"'
1
The Use of Neural Networks to Solve the Sign Problem in Physical Models
Autor: V. I. Dorozhinskii, O. V. Pavlovskii, M. V. Ulybyshev
Publikováno v: Physics of Particles and Nuclei. 51:363-379
The possibility of taming the sign problem, which arises in the study of fermionic systems with finite chemical potential, with the use of algorithms of neural networks is examined. A solution to the sign problem is crucial for current research in co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d9271812f2436101b51bca67917249d
https://doi.org/10.1134/s1063779620030314
Zobrazit plný text záznamu
3
Quantum phase transitions on the hexagonal lattice
Autor: Lorenz von Smekal, Michael Körner, M. V. Ulybyshev, Pavel Buividovich, Dominik Smith
Publikováno v: INTERNATIONAL JOURNAL OF MODERN PHYSICS A
Hubbard-type models on the hexagonal lattice are of great interest, as they provide realistic descriptions of graphene and other related materials. Hybrid Monte Carlo simulations offer a first-principles approach to study their phase structure. Here,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48d953fca479a457909d18031db65996
https://doi.org/10.1142/s0217751x21410037
Zobrazit plný text záznamu
4
Lefschetz thimbles decomposition for the Hubbard model on the hexagonal lattice
Autor: Christopher Winterowd, Savvas Zafeiropoulos, M. V. Ulybyshev
Publikováno v: Physical Review D
Physical Review D, American Physical Society, 2020, 101 (1), pp.014508. ⟨10.1103/PhysRevD.101.014508⟩
Physical Review D, 2020, 101 (1), pp.014508. ⟨10.1103/PhysRevD.101.014508⟩
We propose a framework to study the properties of the Lefschetz thimbles decomposition for lattice fermion models approaching the thermodynamic limit. The proposed set of algorithms includes the Schur complement solver and the exact computation of th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a75ca67ddaf63c3cdf75e504bbfda10
https://hal.archives-ouvertes.fr/hal-03116593
Zobrazit plný text záznamu
5
Quantum Monte Carlo study of electrostatic potential in graphene
Autor: V. V. Braguta, A. A. Nikolaev, Mikhail I. Katsnelson, M. V. Ulybyshev, N. Yu. Astrakhantsev
Publikováno v: Phys. Rev. B
Physical Review B
Physical Review B, 97, 3, pp. 1-6
Physical Review B, 97, 1-6
In this paper the interaction potential between static charges in suspended graphene is studied within the quantum Monte Carlo approach. We calculated the dielectric permittivity of suspended graphene for a set of temperatures and extrapolated our re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::919f9e068d40ea2dee7cd591b8a990e4
https://doi.org/10.1103/physrevb.97.035102
Zobrazit plný text záznamu
6
Numerical evidence of conformal phase transition in graphene with long-range interactions
Autor: M. V. Ulybyshev, Lorenz von Smekal, Dominik Smith, Pavel Buividovich
Publikováno v: Physical Review B. 99
Using state of the art Hybrid-Monte-Carlo (HMC) simulations we carry out an unbiased study of the competition between spin-density wave (SDW) and charge-density wave (CDW) order in suspended graphene. We determine that the realistic inter-electron po
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::402faef95081f5414eec7a6b4a799259
https://doi.org/10.1103/physrevb.99.205434
Zobrazit plný text záznamu
7
Numerical simulations of graphene conductivity with realistic inter-electron potential
Autor: D. L. Boyda, V. V. Braguta, M. V. Ulybyshev
Publikováno v: Physics of Atomic Nuclei. 79:1505-1507
This paper provides results of numerical simulations of graphene conductivity. The numerical results were performed in tight-biding model with Coulomb potential screened by σ electron of carbon atoms. The dependence of the graphene conductivity on t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddd4b044ac8c960e362fb985413fb8de
https://doi.org/10.1134/s1063778816100045
Zobrazit plný text záznamu
8
Multiple scales and phases in discrete chains with application to folded proteins
Autor: Johan Nilsson, Anna Sinelnikova, M. V. Ulybyshev, Antti J. Niemi
Publikováno v: Physical Review E. 97
Chiral heteropolymers such as larger globular proteins can simultaneously support multiple length scales. The interplay between different scales brings about conformational diversity, and governs the structure of the energy landscape. Multiple scales
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3dbb99cfad797dc423026a5f3fbbf91
https://doi.org/10.1103/physreve.97.052107
Zobrazit plný text záznamu
9
Schur complement solver for Quantum Monte-Carlo simulations of strongly interacting fermions
Autor: Karsten Kahl, M. V. Ulybyshev, Pavel Buividovich, Nils Kintscher
We present a non-iterative solver based on the Schur complement method for sparse linear systems of special form which appear in Quantum Monte-Carlo (QMC) simulations of strongly interacting fermions on the lattice. While the number of floating-point
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5421910ef11ff5fb73cb91a2efb15fd
http://arxiv.org/abs/1803.05478
Zobrazit plný text záznamu
10
Numerical analytic continuation of Euclidean data
Autor: M. V. Ulybyshev, Philipp Gubler, Lorenz von Smekal, Ralf-Arno Tripolt
In this work we present a direct comparison of three different numerical analytic continuation methods: the Maximum Entropy Method, the Backus-Gilbert method and the Schlessinger point or Resonances Via Pad\'{e} method. First, we perform a benchmark
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccea99491994b516658d7d659b82f3ec
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje