538 citations
- University of EdinburghGB577 papers
- Heriot-Watt UniversityGB436 papers
- Pennsylvania State UniversityUS35 papers
- University of CambridgeGB31 papers
- Centre National de la Recherche ScientifiqueFR30 papers
- University of SurreyGB30 papers
- Imperial College LondonGB24 papers
- KTH Royal Institute of TechnologySE22 papers
- University of OxfordGB21 papers
- Leibniz University HannoverDE20 papers
- Charles UniversityCZ19 papers
- ETH ZurichCH14 papers
56 papers · 1 filter
Online learning in idealized ocean gyres
James R. Maddison
Ocean turbulence parameterization has principally been based on processed-based approaches, seeking to embed physical principles so that coarser resolution calculations can capture…
Coexisting multiphase and interfacial behaviour of ouzo
David N. Sibley, Benjamin D. Goddard, Fouzia F. Ouali +2
Multi-component liquid mixtures can be both complex and fascinating, with some systems being amenable to simple experimentation at home, giving valuable insight into fundamental as…
Hydrodynamic density-functional theory for the moving contact-line problem reveals fluid structure and emergence of a spatially distinct pattern
Andreas Nold, Benjamin D. Goddard, David N. Sibley +1
Understanding the nanoscale effects controlling the dynamics of a contact line -- defined as the line formed at the junction of two fluid phases and a solid -- has been a longstand…
-Hurwitz numbers from refined topological recursion
Nitin Kumar Chidambaram, Maciej Dołęga, Kento Osuga
We prove that single -weighted -Hurwitz numbers with internal faces are computed by refined topological recursion on a rational spectral curve, for certain rationa…
Parametric reflection maps: an algebraic approach
Anastasia Doikou, Marzia Mazzotta, Paola Stefanelli
We study solutions of the parametric set-theoretic reflection equation from an algebraic perspective by employing recently derived generalizations of the familiar shelves and racks…
Deep learning joint extremes of metocean variables using the SPAR model
Ed Mackay, Callum Murphy-Barltrop, Jordan Richards +1
This paper presents a novel deep learning framework for estimating multivariate joint extremes of metocean variables, based on the Semi-Parametric Angular-Radial (SPAR) model. When…