activity
20082023
most citedTailoring Magnetic Anisotropy in CrGeTe by Electrostatic Gating

279 citations · 1.7k across the 35 of their papers we have counts for

collaborators

36 papers

cond-mat.mtrl-sci2023

Magnon-magnon coupling in synthetic ferrimagnets

A. Sud, K. Yamamoto, K. Z. Suzuki +2

Magnetic multilayers with interlayer exchange coupling have been widely studied for both static and dynamic regimes. Their dynamical responses depend on the exchange coupling stren…

cond-mat.mes-hall2023★ 37 cited

Ultrastrong magnon-magnon coupling and chiral spin-texture control in a dipolar 3D multilayered artificial spin-vortex ice

Troy Dion, Kilian D. Stenning, Alex Vanstone +12

Strongly-interacting nanomagnetic arrays are ideal systems for exploring reconfigurable magnonics. They provide huge microstate spaces and integrated solutions for storage and neur…

cs.ET2023★ 47 cited

Perspective on unconventional computing using magnetic skyrmions

Oscar Lee, Robin Msiska, Maarten A. Brems +3

Learning and pattern recognition inevitably requires memory of previous events, a feature that conventional CMOS hardware needs to artificially simulate. Dynamical systems naturall…

cond-mat.mes-hall2023★ 69 cited

Laser-induced topological spin switching in a 2D van der Waals magnet

Maya Khela, Maciej Dabrowski, Safe Khan +6

Two-dimensional (2D) van der Waals (vdW) magnets represent one of the most promising horizons for energy-efficient spintronic applications because their broad range of electronic,…

cond-mat.mtrl-sci2023★ 56 cited

Spin Dynamics in van der Waals Magnetic Systems

Chunli Tang, Laith Alahmed, Muntasir Mahdi +11

The discovery of atomic monolayer magnetic materials has stimulated intense research activities in the two-dimensional (2D) van der Waals (vdW) materials community. The field is gr…

cond-mat.mtrl-sci2022★ 3 cited

Task-adaptive physical reservoir computing

Oscar Lee, Tianyi Wei, Kilian D. Stenning +11

Reservoir computing is a neuromorphic architecture that potentially offers viable solutions to the growing energy costs of machine learning. In software-based machine learning, neu…