Learning Deep Features in Instrumental Variable Regression
Xu, L Chen, Y Srinivasan, S de Freitas, N Doucet, A Gretton, A ICLR 2021 - 9th International Conference on Learning Representations (01 Jan 2021)
Quantum low-density parity-check codes for modular architectures
Strikis, A Berent, L PRX Quantum volume 4 (05 May 2023)
Tue, 13 Jun 2023

12:00 - 13:15
L3

Uncovering the Structure of the ε Expansion

Andreas Stergiou
(Kings College London)
Abstract

The ε expansion was invented more than 50 years ago and has been used extensively ever since to study aspects of renormalization group flows and critical phenomena. Its most famous applications are found in theories involving scalar fields in 4−ε dimensions. In this talk, we will discuss the structure of the ε expansion and the fixed points that can be obtained within it. We will mostly focus on scalar theories, but we will also discuss theories with fermions as well as line defects. Our motivation is based on the goal of classifying conformal field theories in d=3 dimensions. We will describe recently discovered universal constraints obtained within the framework of the ε expansion and show that a “heavy handed" quest for fixed points yields a plethora of new ones. These fixed points reveal aspects of the structure of the ε expansion and suggest that a classification of conformal field theories in d=3 is likely to be highly non-trivial.

Noise-driven bifurcations in a nonlinear Fokker–Planck system describing stochastic neural fields
Carrillo, J Roux, P Solem, S Physica D: Nonlinear Phenomena volume 449 (05 Apr 2023)
Gaussian Fluctuations for the stochastic Burgers equation in dimension $d\geq 2$
Cannizzaro, G Gubinelli, M Toninelli, F (12 Apr 2023)
Łojasiewicz inequalities near simple bubble trees
Malchiodi, A Rupflin, M Sharp, B American Journal of Mathematics volume 146 issue 5 1361-1397 (26 Sep 2024)
Generalised kuramoto models with time-delayed phase-resetting for k-dimensional clocks
Brennan, M Grindrod, P Brain Multiphysics volume 4 (28 Apr 2023)
Thu, 08 Jun 2023

12:00 - 13:00
Lecture room 5

Mathematical Modelling of Metal Forming

Ed Brambley
(University of Warwick)
Abstract

Metal forming involves permanently deforming metal into a required shape.  Many forms of metal forming are used in industry: rolling, stamping, pressing, drawing, etc; for example, 99% of steel produced globally is first rolled before any subsequent processing.  Most theoretical studies of metal forming use Finite Elements, which is not fast enough for real-time control of metal forming processes, and gives little extra insight.  As an example of how little is known, it is currently unknown whether a sheet of metal that is squashed between a large and a small roller should curve towards the larger roller, or towards the smaller roller.  In this talk, I will give a brief overview of metal forming, and then some progress my group have been making on some very simplified models of cold sheet rolling in particular.  The mathematics involved will include some modelling and asymptotics, multiple scales, and possibly a matrix Wiener-Hopf problem if time permits.

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