activity
20122021
most citedElectronic properties of Fabre charge-transfer salts under various temperature and pressure conditions

38 citations · 105 across the 6 of their papers we have counts for

collaborators

17 papers

cond-mat.str-el2021

Elementary band representations for the single-particle Green's function of interacting topological insulators

Dominik Lessnich, Stephen M. Winter, Mikel Iraola +2

We discuss the applicability of elementary band representations (EBRs) to diagnose spatial- and time-reversal-symmetry protected topological phases in interacting insulators in ter…

cond-mat.str-el202138 cited

Angle-dependent thermodynamics of -RuCl

S. Bachus, D. A. S. Kaib, A. Jesche +6

Thermodynamics of the Kitaev honeycomb magnet -RuCl is studied for different directions of in-plane magnetic field using measurements of the magnetic Grüneisen parameter $Γ_…

cond-mat.str-el2021

Prediction of Double-Weyl Points in the Iron-Based Superconductor CaKFeAs

N. Heinsdorf, M. H. Christensen, M. Iraola +6

Employing a combination of symmetry analysis, low-energy modeling, and ab initio simulations, we predict the presence of magnetic-field-induced Weyl points close to the Fermi level…

cond-mat.supr-con20201 cited

Evolution of nematic fluctuations in CaK(FeNi)As with spin-vortex crystal magnetic order

Anna E. Böhmer, Fei Chen, William R. Meier +11

The CaK(FeNi)As superconductors resemble the archetypal 122-type iron-based materials but have a crystal structure with distinctly lower symmetry. This fa…

cond-mat.supr-con2020

Anisotropic superconductivity and Fermi surface reconstruction in the spin-vortex antiferromagnetic superconductor CaK(FeNi)As

José Benito Llorens, Edwin Herrera, Víctor Barrena +9

High critical temperature superconductivity often occurs in systems where an antiferromagnetic order is brought near by slightly modifying pressure or doping. CaKFeAs$_4…

cond-mat.mes-hall2020

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…