Hopfield neural network
Unusual transport in odd-diffusive systems
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.
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.
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