Thresholds, Expectation Thresholds and Cloning
Przybyłowski, T Riordan, O The Electronic Journal of Combinatorics volume 31 issue 4 (27 Dec 2024)
Dynamical Systems on Generalised Klein Bottles.
Grindrod, P Yim, K Entropy (Basel, Switzerland) volume 27 issue 2 119 (24 Jan 2025)

Bubble Tea will be available in the Café from Monday, 3rd February. 

Join us for the launch and enjoy free samples. For more details, feel free to ask café staff.

Transforming CCTV cameras into NO 2 sensors at city scale for adaptive policymaking
Ibrahim, M Lyons, T Scientific Reports volume 15 issue 1 (29 Jan 2025)

Bodleian iSkills workshops are available to all University of Oxford students, researchers, academics and other staff.  The details for all our workshops are available on our website along with the booking links.

Image: Eye - M. C. Escher

Non-bifurcation regulation of chaos in a memristive Hopfield neural network
Zhang, X Li, C Moroz, I Huang, K Liu, Z Nonlinear Dynamics (14 Feb 2025)
Thu, 30 Jan 2025
12:00
C6

Strong convergence of the vorticities in the 2D viscosity limit on a bounded domain

Jakub Woźnicki
(University of Warsaw)
Abstract

In the vanishing viscosity limit from the Navier-Stokes to Euler equations on domains with boundaries, a main difficulty comes from the mismatch of boundary conditions and, consequently, the possible formation of a boundary layer. Within a purely interior framework, Constantin and Vicol showed that the two-dimensional viscosity limit is justified for any arbitrary but finite time under the assumption that on each compactly contained subset of the domain, the enstrophies are bounded uniformly along the viscosity sequence. Within this framework, we upgrade to local strong convergence of the vorticities under a similar assumption on the p-enstrophies, p > 2. The talk is based on a recent publication with Christian Seis and Emil Wiedemann.

This is the thirteenth year for MPLS Impact Awards, which celebrate, recognise and reward impacts achieved by researchers. The annual awards aim to foster, raise awareness of, and reward impact at a local level, and prepare the ground for the impact case studies that will be needed for future REF and similar exercises. 

Tue, 11 Mar 2025
14:00
L3

Hodge Learning on Higher-Order Networks

Vincent Grande
(RWTH Aachen University)
Abstract

The discrete Hodge Laplacian offers a way to extract network topology and geometry from higher-ordered networks. The operator is inspired by concepts from algebraic topology and differential geometry and generalises the graph Laplacian. In particular, it allows to relate global structure of networks to the local properties of nodes. In my talk, I will talk about some general behaviour of the Hodge Laplacian and then continue to show how to use the extracted information to a) to use trajectory data infer the topology of the underlying network while simultaneously classifying the trajectories and b) to extract cell differentiation trees from single-cell data, an exciting new application in computational genomics.    

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