activity
20182023
most citedSpin scattering and noncollinear spin structure-induced intrinsic anomalous Hall effect in antiferromagnetic topological insulator

266 citations · 747 across the 15 of their papers we have counts for

collaborators

16 papers

cond-mat.mtrl-sci2023★ 17 cited

Large Violation of the Wiedemann Franz Law in Heusler, Ferromagnetic, Weyl Semimetal CoMnAl

Robert A. Robinson, Lujin Min, Seng Huat Lee +4

The Wiedemann-Franz (WF) law relates the electronic component of the thermal conductivity to the electrical conductivity in metals through the Lorenz number. The WF law has proven…

cond-mat.mes-hall2023★ 3 cited

Colossal nonreciprocal Hall effect and broadband frequency mixing due to a room temperature nonlinear Hall effect

Lujin Min, Yang Zhang, Zhijian Xie +8

Nonreciprocal (NR) charge transport in quantum materials has attracted enormous interest since it offers an avenue to investigate quantum symmetry related physics and holds many pr…

cond-mat.str-el2023★ 33 cited

Giant Nernst effect in the crossover between Fermi liquid and strange metal

Yusen Yang, Qian Tao, Yuqiang Fang +11

The strange-metal state is a crucial problem in condensed matter physics highlighted by its ubiquity in almost all major correlated systems[1-7]. Its understanding could provide im…

cond-mat.mes-hall2023

Surprisingly large anomalous Hall effect and giant negative magnetoresistance in half-topological semimetals

Yanglin Zhu, Cheng-Yi Huang, Yu Wang +9

Large intrinsic anomalous Hall effect (AHE) due to the Berry curvature in magnetic topological semimetals is attracting enormous interest due to its fundamental importance and tech…

cond-mat.mtrl-sci2022★ 12 cited

Unreliability of two-band model analysis of magnetoresistivities in unveiling temperature-driven Lifshitz transition

Jing Xu, Yu Wang, Samuel E. Pate +9

Recently, anomalies in the temperature dependences of the carrier density and/or mobility derived from analysis of the magnetoresistivities using the conventional two-band model ha…

cond-mat.mtrl-sci2020★ 68 cited

IrO2 Surface Complexions Identified Through Machine Learning and Surface Investigations

Jakob Timmermann, Florian Kraushofer, Nikolaus Resch +11

A Gaussian Approximation Potential (GAP) was trained using density-functional theory data to enable a global geometry optimization of low-index rutile IrO2 facets through simulated…