| 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 | 246 | 2023 |
| 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 | 235 | 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 | 195 | 2020 |
| 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 | 136 | 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 | 58 | 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 | 50* | 2021 |
| 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 | 14 | 2023 |
| Droplet collapse during strongly supercooled transitions D Cutting, E Vilhonen, DJ Weir Physical Review D 106 (10), 103524, 2022 | 13 | 2022 |
| Machine learning a manifold S Craven, D Croon, D Cutting, R Houtz Physical Review D 105 (9), 096030, 2022 | 13 | 2022 |
| 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, CM Deane, AMJJ Bonvin Bioinformatics 40 (10), btae583, 2024 | 11 | 2024 |
| Simulations of early universe phase transitions and gravitational waves D Cutting University of Sussex, 2021 | 4 | 2021 |
| De novo antibody design with SE (3) diffusion D Cutting, FA Dreyer, D Errington, C Schneider, CM Deane arXiv preprint arXiv:2405.07622, 2024 | 3 | 2024 |
| ABodyBuilder3: Improved and scalable antibody structure predictions H Kenlay, FA Dreyer, D Cutting, D Nissley, CM Deane Bioinformatics 40 (10), btae576, 2024 | 2 | 2024 |
| Computational design of developable therapeutic antibodies: efficient traversal of binder landscapes and rescue of escape mutations FA Dreyer, C Schneider, A Kovaltsuk, D Cutting, MJ Byrne, DA Nissley, ... bioRxiv, 2024.10. 03.616038, 2024 | | 2024 |
| arXiv: EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade R Alves Batista, R Erdem, BJ Kavanagh, K Schmitz, K Clough, A Coogan, ... | | 2021 |
| 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, 0 | | |
David J. WeirUniversity of HelsinkiVerified email at helsinki.fi
