Higher-group global symmetry and the bosonic M5 brane
Armas, J Batzios, G Jain, A Journal of High Energy Physics volume 2024 issue 8 (02 Aug 2024)
Higher derivative corrections to charged fluids in 2n dimensions
Banerjee, N Dutta, S Jain, A Journal of High Energy Physics volume 2015 issue 5 (01 May 2015)
Dissipative hydrodynamics with higher-form symmetry
Armas, J Gath, J Jain, A Pedersen, A Journal of High Energy Physics volume 2018 issue 5 (01 May 2018)
First order Galilean superfluid dynamics
Banerjee, N Dutta, S Jain, A Physical Review D volume 96 issue 6 (12 Sep 2017)
Tue, 04 Nov 2025
16:00
TBA

TBA

Sean Hartnoll
(DAMTP Cambridge)
Further Information

Joint seminar organised by the Random Matrix Theory group. Note this seminar is on a TUESDAY.

Abstract

TBA. 

Thu, 13 Nov 2025
16:00
Lecture Room 4

TBA

Thomas Bloom
(Manchester)
Abstract

TBA

Amazing what you can do with some wood, some glue and some mathematics.

André Henriques introduces his self-made contact structure.

Irving Berlin's masterpiece from the 1935 film Top Hat. Fred sings Cheek to Cheek to Ginger Rogers as they grace the dance floor. You can watch plenty of footage of that on YouTube, but today let's concentrate on the song: lyrics, music and, of course, Fred.

Thu, 04 Dec 2025

12:00 - 13:00
L3

Geometry optimisation of wave energy converters

Emma Edwards
(Department of Engineering Science University of Oxford)

The join button will be published 30 minutes before the seminar starts (login required).

Abstract

Wave energy has the theoretical potential to meet global electricity demand, but it remains less mature and less cost-competitive than wind or solar power. A key barrier is the absence of engineering convergence on an optimal wave energy converter (WEC) design. In this work, I demonstrate how geometry optimisation can deliver step-change improvements in WEC performance. I present methodology and results from optimisations of two types of WECs: an axisymmetric point-absorber WEC and a top-hinged WEC. I show how the two types need different optimisation frameworks due to the differing physics of how they make waves. For axisymmetric WECs, optimisation achieves a 69% reduction in surface area (a cost proxy) while preserving power capture and motion constraints. For top-hinged WECs, optimisation reduces the reaction moment (another cost proxy) by 35% with only a 12% decrease in power. These result show that geometry optimisation can substantially improve performance and reduce costs of WECs.

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