Hopfield neural network
Unusual transport in odd-diffusive systems
Abstract
Odd systems, characterised by broken time-reversal or parity symmetry,
exhibit striking transport phenomena due to transverse responses. In this
talk, I will introduce the concept of odd diffusion, a generalisation of
diffusion in two-dimensional systems that incorporates antisymmetric tensor
components. Focusing on systems of interacting particles, I adapt a
geometric approach to derive effective transport equations and show how
interactions give rise to unusual transport in odd systems. I present
effects like enhanced self-diffusion, reversed Hall drift and even absolute
negative mobility that solely originate in odd diffusion. These results
reveal how microscopic symmetry-breaking gives rise to emergent, equilibrium
and non-equilibrium transport, with implications for soft matter, chiral
active systems, and topological materials.
Erik Kalz is a PhD student at U Potsdam in the group of Ralf Metzler. The group focuses on nonequilibrium statistical physics and anomalous stochastic processes, with applications to biological and soft matter systems.
14:00
Nearly G2-structures and G2-Laplacian co-flows.
Abstract
In this talk, we discuss nearly G2 structures, which define positive Einstein metrics, and are, up to scale, critical points of a geometric flow called (modified) Laplacian co-flow. We will discuss a recent joint work with Jason Lotay showing that many of these nearly G2 critical points are unstable for the flow.
15:00
Perturbing circle invariant solution to LMCF in the Eguchi-Hanson space to solutions in the Kummer K3 surface
Abstract
In this talk I will describe a possible strategy to obtain new solution to LMCF in the Kummer K3 surface by a fixed point argument. The key idea is that the regions where curvature concentrates in the Kummer K3 surface are modeled on the Eguchi-Hanson space.