2 citations · 4 across the 7 of their papers we have counts for
7 papers
Altermagnetic spin textures coupled to superconductors: Domain wall spin-triplet superconductivity and supercurrent-induced torques
Yasir Dar, Mathias S. Scheurer, Constantin Schrade
Motivated by the absence of sizable stray fields and the recently discovered highly non-trivial impact of altermagnetic textures on itinerant electrons, we here study the form of C…
Anisotropic vacancy-induced magnetization textures in altermagnets
Ruben Burkard, Mathias S. Scheurer, Urban F. P. Seifert
We study magnetic textures induced by vacancies in altermagnets using microscopic simulations and low-energy field theory. We show that a vacancy generically produces a real-space…
In-plane and out-of-plane magnetic field driven Josephson diode effect in magic-angle twisted four-layer graphene
Marta Perego, Sayan Banerjee, Mohamad Abu El Hija +8
The superconducting diode effect offers a powerful probe into the fundamental symmetries of quantum materials. Recent studies on twisted graphene diodes have predominantly focused…
Altermagnetic spin textures: Emergent electrodynamics, quantum geometry, and probes
Constantin Schrade, Mathias S. Scheurer
Emergent electrodynamics arising from spatially and temporally varying magnetic textures provides a framework for spin control in quantum materials. While this principle is establi…
Exactly Solvable Models Hosting Altermagnetic Quantum Spin Liquids
João Augusto Sobral, Pietro M. Bonetti, Subrata Mandal +1
We construct spin- and spin- models on the square-octagon and checkerboard lattices that are exactly solvable with Majorana representations. They give rise to spin-liquid…
Anomalous impurity-induced charge modulations in black phosphorus
Byeongin Lee, Junho Bang, Sayan Banerjee +6
We observe anomalous charge modulations induced by ionized indium impurities on the surface of the semiconductor black phosphorus by scanning tunneling microscopy (STM). When the i…
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
Vikas Kanaujia, Mathias S. Scheurer, Vipul Arora
Deep generative models complement Markov-chain-Monte-Carlo methods for efficiently sampling from high-dimensional distributions. Among these methods, explicit generators, such as N…