| Gravitational waves from vacuum first-order phase transitions: from the envelope to the lattice D Cutting, M Hindmarsh, DJ Weir Physical Review D 97 (12), 123513, 2018 | 210 | 2018 |
| Vorticity, kinetic energy, and suppressed gravitational-wave production in strong first-order phase transitions D Cutting, M Hindmarsh, DJ Weir Physical Review Letters 125 (2), 021302, 2020 | 164 | 2020 |
| Cosmology with the laser interferometer space antenna P Auclair, D Bacon, T Baker, T Barreiro, N Bartolo, E Belgacem, ... Living reviews in relativity 26 (1), 5, 2023 | 130 | 2023 |
| Gravitational waves from vacuum first-order phase transitions. II. From thin to thick walls D Cutting, EG Escartin, M Hindmarsh, DJ Weir Physical Review D 103 (2), 023531, 2021 | 112 | 2021 |
| Generation of gravitational waves from freely decaying turbulence P Auclair, C Caprini, D Cutting, M Hindmarsh, K Rummukainen, DA Steer, ... Journal of Cosmology and Astroparticle Physics 2022 (09), 029, 2022 | 47 | 2022 |
| EuCAPT white paper: opportunities and challenges for theoretical astroparticle physics in the next decade RA Batista, MA Amin, G Barenboim, N Bartolo, D Baumann, A Bauswein, ... arXiv preprint arXiv:2110.10074, 2021 | 46* | 2021 |
| Machine learning a manifold S Craven, D Croon, D Cutting, R Houtz Physical Review D 105 (9), 096030, 2022 | 11 | 2022 |
| Droplet collapse during strongly supercooled transitions D Cutting, E Vilhonen, DJ Weir Physical Review D 106 (10), 103524, 2022 | 6 | 2022 |
| Inverse folding for antibody sequence design using deep learning FA Dreyer, D Cutting, C Schneider, H Kenlay, CM Deane arXiv preprint arXiv:2310.19513, 2023 | 4 | 2023 |
| Simulations of early universe phase transitions and gravitational waves D Cutting University of Sussex, 2021 | 4 | 2021 |
| Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking M Giulini, C Schneider, D Cutting, N Desai, C Deane, AMJJ Bonvin bioRxiv, 2023.11. 17.567543, 2023 | 3 | 2023 |
| De novo antibody design with SE (3) diffusion D Cutting, FA Dreyer, D Errington, C Schneider, CM Deane arXiv e-prints, arXiv: 2405.07622, 2024 | | 2024 |
| De novo design of antibody heavy chains with SE (3) diffusion FA Dreyer, D Cutting, D Errington, C Schneider, C Deane NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023 | | 2023 |
David J. WeirUniversity of Helsinki在 helsinki.fi 的电子邮件经过验证
