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 | 186 | 2020 |

Sampling using gauge equivariant flows D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ... Physical Review D 103 (7), 074504, 2021 | 126 | 2021 |

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 | 74 | 2017 |

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 | 43 | 2021 |

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 | 41 | 2017 |

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 | 39 | 2016 |

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 | 37 | 2017 |

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 | 28 | 2021 |

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 | 28 | 2019 |

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 | 23 | 2021 |

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 | 22 | 2021 |

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 | 21 | 2022 |

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 | 20 | 2022 |

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 | 18 | 2014 |

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 | 16 | 2016 |

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 | 15 | 2022 |

Study of DNA conducting properties: Reversible and irreversible evolution SE Shirmovsky, DL Boyda Biophysical Chemistry 180, 95-101, 2013 | 12 | 2013 |

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 | |

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 | 11 | 2022 |

Lattice quantum Monte Carlo study of chiral magnetic effect in Dirac semimetals DL Boyda, VV Braguta, MI Katsnelson, AY Kotov Annals of Physics 396, 78-86, 2018 | 7 | 2018 |