activity
20182020
most citedMagnetocrystalline anisotropy of the easy-plane metallic antiferromagnet FeAs

9 citations · 9 across the 1 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2020

Strongly two-dimensional exchange interactions in the in-plane metallic antiferromagnet FeAs probed by inelastic neutron scattering

Manohar H. Karigerasi, Kisung Kang, Garrett E. Granroth +3

To understand spin interactions in materials of the CuSb structure type, inelastic neutron scattering of FeAs single crystals was examined at different temperatures and inc…

cond-mat.mtrl-sci2020

Two-step magnetic ordering into a canted state in ferrimagnetic monoclinic MnAs

Manohar H Karigerasi, Bao H. Lam, Maxim Avdeev +1

We report the magnetic structure of room-temperature-stable, monoclinic MnAs at 3 K and 250 K using neutron powder diffraction measurements. From magnetometry data, the Cur…

cond-mat.mtrl-sci20209 cited

Magnetocrystalline anisotropy of the easy-plane metallic antiferromagnet FeAs

Kexin Yang, Kisung Kang, Zhu Diao +4

Magnetocrystalline anisotropy is a fundamental property of magnetic materials that determines the dynamics of magnetic precession, the frequency of spin waves, the thermal stabilit…

cond-mat.mtrl-sci2019

An in-plane hexagonal antiferromagnet in the Cu-Mn-As system, CuMnAs

Manohar H. Karigerasi, Kisung Kang, Arun Ramanathan +5

We report the single-crystal growth and characterization of a new hexagonal phase, CuMnAs, in the Cu-Mn-As system. This compound contains the same square-pyramida…

cond-mat.mtrl-sci2019

Magneto-optic Response of the Metallic Antiferromagnet FeAs to Ultrafast Temperature Excursions

Kexin Yang, Kisung Kang, Zhu Diao +5

The linear magneto-optical Kerr effect (MOKE) is often used to probe magnetism of ferromagnetic materials, but MOKE cannot be applied to collinear antiferromagnets (AFs) due to the…

cond-mat.mtrl-sci2018

Uncovering anisotropic magnetic phases via fast dimensionality analysis

Manohar H. Karigerasi, Lucas K. Wagner, Daniel P. Shoemaker

A quantitative geometric predictor for the dimensionality of magnetic interactions is presented. This predictor is based on networks of superexchange interactions and can be quickl…