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Theoretical physicists working at a blackboard collaboration pod in the Beecroft building.
Credit: Jack Hobhouse

Professor Fabian Essler

Professorial Research Fellow

Research theme

  • Fields, strings, and quantum dynamics
  • Quantum materials

Sub department

  • Rudolf Peierls Centre for Theoretical Physics

Research groups

  • Condensed Matter Theory
Fabian.Essler@physics.ox.ac.uk
Telephone: 01865 (2)73971
Rudolf Peierls Centre for Theoretical Physics, room 70.12
www-thphys.physics.ox.ac.uk/people/FabianEssler
  • About
  • Publications

Critical behavior of the extended Hubbard model with bond dimerization

(2017)

Authors:

Satoshi Ejima, Florian Lange, Fabian HL Essler, Holger Fehske
More details from the publisher

Spinon confinement in a quasi one dimensional anisotropic Heisenberg magnet

(2017)

Authors:

AK Bera, B Lake, FHL Essler, L Vanderstraeten, C Hubig, U Schollwock, ATMN Islam, A Schneidewind, DL Quintero-Castro
More details from the publisher

Spinon decay in the spin-1/2 Heisenberg chain with weak next nearest neighbour exchange

(2017)

Authors:

Stefan Groha, Fabian HL Essler
More details from the publisher

On truncated generalized Gibbs ensembles in the Ising field theory

Journal of Statistical Mechanics: Theory and Experiment IOP Publishing 2017:1 (2017) 013103

Authors:

Fabian Essler, G Mussardo, M Panfil

Abstract:

We discuss the implementation of two dierent truncated Generalized Gibbs Ensembles (GGE) describing the stationary state after a mass quench process in the Ising Field Theory. One truncated GGE is based on the semi-local charges of the model, the other on regularized versions of its ultra-local charges. We test the efficiency of the two different ensembles by comparing their predictions for the stationary state values of the single-particle Green's function G(x) = ⟨Ψ†(x)Ψ(0)⟩ of the complex fermion field Ψ(x). We find that both truncated GGEs are able to recover G(x), but for a given number of charges the semi-local version performs better.

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Quantum-disentangled liquid in the half-filled Hubbard model

(2016)

Authors:

Thomas Veness, Fabian HL Essler, Matthew PA Fisher
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