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Daniel Cutting
Daniel Cutting
Exscientia
Verified email at exscientia.co.uk
Title
Cited by
Cited by
Year
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
2062018
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
1622020
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
1262023
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
1112021
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
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
442022
Machine learning a manifold
S Craven, D Croon, D Cutting, R Houtz
Physical Review D 105 (9), 096030, 2022
112022
Droplet collapse during strongly supercooled transitions
D Cutting, E Vilhonen, DJ Weir
Physical Review D 106 (10), 103524, 2022
62022
Simulations of early universe phase transitions and gravitational waves
D Cutting
University of Sussex, 2021
42021
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
22023
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
12023
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
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