Falko Pientka

Falko Pientka

Professor of Theoretical Condensed Matter Physics

Goethe University Frankfurt

Research focus

I am interested in quantum many-body systems, particularly in one or two dimensions or on mesoscopic scales (~10 nm to microns). My research addresses well-known states of matter like Fermi liquids and superconductors as well as more exotic ones such as topological insulators and spin liquids.

I often try to understand a system through the properties of the relevant low-energy excitations, for instance, Majorana quasiparticles in topological superconductors, exciton polaritons in semiconductor microcavity systems, or electronic shear sound in Fermi liquids. My work is often directly motivated by experiments or tries to propose novel ways of detecting physical phenomena.


  • Quantum transport
  • Topological states of matter
  • Nonequilibrium dynamics


  • Distinguished PKS Postdoctoral Fellow, 2018-2020

    Max Planck Institute for the Physics of Complex Systems

  • Postdoctoral Fellow, 2015-2018

    Harvard University

  • PhD in Quantum Condensed Matter Physics, 2014

    Freie Universität Berlin


Novel probes of collective excitations

Novel probes of collective excitations

We propose ways to experimentally characterize excitations in many-body systems, which are inaccesible in standard transport or spectroscopy experiments, e.g., using near-field techniques or NV centers in diamond.

Polaron dynamics

Polaron dynamics

We try to understand dynamical phenomena of polarons in condensed matter and cold atomic systems such as polaron drag (a novel form of Coulomb drag mediated by nonperturbative interactions) or metastable polaron states that can enable lasing.

Topological hybrid structures

Topological hybrid structures

We propose nanoscale superconducting hybrid structures as platforms for topological superconductivity and topological quantum computing and investigate unconventional Josephson effects in magneic Josephson junctions.

Recent Publications

Quickly discover relevant content by filtering publications.