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Denis Boyda
Denis Boyda
IAIFI Fellow, MIT
Подтвержден адрес электронной почты в домене mit.edu
Название
Процитировано
Процитировано
Год
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racaniere, ...
Physical Review Letters 125 (12), 121601, 2020
2032020
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
1372021
Interacting electrons in graphene: Fermi velocity renormalization and optical response
T Stauber, P Parida, M Trushin, MV Ulybyshev, DL Boyda, J Schliemann
Physical review letters 118 (26), 266801, 2017
772017
Flow-based sampling for fermionic lattice field theories
MS Albergo, G Kanwar, S Racaniere, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
482021
New approach to canonical partition functions computation in lattice QCD at finite baryon density
VG Bornyakov, DL Boyda, VA Goy, AV Molochkov, A Nakamura, ...
Physical Review D 95 (9), 094506, 2017
432017
Many-body effects on graphene conductivity: Quantum Monte Carlo calculations
DL Boyda, VV Braguta, MI Katsnelson, MV Ulybyshev
Physical Review B 94 (8), 085421, 2016
402016
Sign problem in finite density lattice QCD
VA Goy, V Bornyakov, D Boyda, A Molochkov, A Nakamura, A Nikolaev, ...
Progress of Theoretical and Experimental Physics 2017 (3), 031D01, 2017
382017
Introduction to normalizing flows for lattice field theory
MS Albergo, D Boyda, DC Hackett, G Kanwar, K Cranmer, S Racaniere, ...
arXiv preprint arXiv:2101.08176, 2021
352021
Lee-Yang zeros in lattice QCD for searching phase transition points
M Wakayama, VG Bornyakov, DL Boyda, VA Goy, H Iida, AV Molochkov, ...
Physics Letters B 793, 227-233, 2019
292019
Flow-based sampling in the lattice Schwinger model at criticality
MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, S Racanière, ...
Physical Review D 106 (1), 014514, 2022
272022
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
R Abbott, MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, ...
Physical Review D 106 (7), 074506, 2022
262022
Finding the deconfinement temperature in lattice Yang-Mills theories from outside the scaling window with machine learning
DL Boyda, MN Chernodub, NV Gerasimeniuk, VA Goy, SD Liubimov, ...
Physical Review D 103 (1), 014509, 2021
242021
Flow-based sampling for multimodal distributions in lattice field theory
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 2021
232021
Applications of machine learning to lattice quantum field theory
D Boyda, S Calì, S Foreman, L Funcke, DC Hackett, Y Lin, G Aarts, ...
arXiv preprint arXiv:2202.05838, 2022
212022
Numerical simulation of graphene in an external magnetic field
DL Boyda, VV Braguta, SN Valgushev, MI Polikarpov, MV Ulybyshev
Physical Review B 89 (24), 245404, 2014
182014
Novel approach to deriving the canonical generating functional in lattice QCD at a finite chemical potential
DL Boyda, VG Bornyakov, VA Goy, VI Zakharov, AV Molochkov, ...
JETP letters 104, 657-661, 2016
162016
Sampling QCD field configurations with gauge-equivariant flow models
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
arXiv preprint arXiv:2208.03832, 2022
142022
Study of DNA conducting properties: Reversible and irreversible evolution
SE Shirmovsky, DL Boyda
Biophysical Chemistry 180, 95-101, 2013
132013
Flow-based sampling for multimodal distributions in lattice field theory (2021)
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 0
12
Aspects of scaling and scalability for flow-based sampling of lattice QCD
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
The European Physical Journal A 59 (11), 257, 2023
82023
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