4 papers
Engineering Topological Phases Guided by Statistical and Machine Learning Methods
Thomas Mertz, Roser Valentí
The search for materials with topological properties is an ongoing effort. In this article we propose a systematic statistical method supported by machine learning techniques that…
Deconfinement of Mott Localized Electrons into Topological and Spin-Orbit Coupled Dirac Fermions
José M. Pizarro, Severino Adler, Karim Zantout +5
The interplay of electronic correlations, spin-orbit coupling and topology holds promise for the realization of exotic states of quantum matter. Models of strongly interacting elec…
Statistical Analysis of the Chern Number in the Interacting Haldane-Hubbard Model
Thomas Mertz, Karim Zantout, Roser Valentí
In the context of many-body interacting systems described by a topological Hamiltonian, we investigate the robustness of the Chern number with respect to different sources of error…
Self-Energy Dispersion in the Hubbard Model
Thomas Mertz, Karim Zantout, Roser Valenti
We introduce the concept of self-energy dispersion as an error bound on local theories and apply it to the two-dimensional Hubbard model on the square lattice at half-filling. Sinc…