activity
20002023
most citedCurrent-induced skyrmion dynamics in constricted geometries

904 citations · 4.3k across the 70 of their papers we have counts for

collaborators

71 papers

cond-mat.mes-hall2023★ 4 cited

Reversible magnetic domain reorientation induced by magnetic field pulses with fixed direction

Xichao Zhang, Jing Xia, Oleg A. Tretiakov +5

Nanoscale magnetic domains with controllable configurations could be used for classical and quantum applications, where the switching of magnetization configurations is an essentia…

cond-mat.mes-hall2023★ 15 cited

Controllable Creation of Skyrmion Bags in a Ferromagnetic Nanodisk

Lan Bo, Rongzhi Zhao, Chenglong Hu +3

Skyrmion bags are composed of an outer skyrmion and arbitrary inner skyrmions, which have recently been observed in bulk chiral magnets, but still remain elusive in magnetic films.…

cond-mat.mes-hall2023★ 23 cited

Laminar and transiently disordered dynamics of a magnetic skyrmion pipe flow

Xichao Zhang, Jing Xia, Oleg A. Tretiakov +5

The world is full of fluids that flow. The fluid nature of flowing skyrmionic quasiparticles is of fundamental physical interest and plays an essential role in the transport of man…

cond-mat.str-el2023★ 2 cited

Theory of magnetic vortex crystals induced by electric dipole interactions

Tatsuki Muto, Masahito Mochizuki

Recent Lorentz transmission electron microscopy experiments have revealed a variety of noncollinear spin textures including topological magnetisms such as skyrmions, biskyrmions an…

cond-mat.mes-hall2023★ 7 cited

Thermoelectric effect of skyrmion crystal confined in a magnetic disk

Junnosuke Matsuki, Masahito Mochizuki

We theoretically propose that an electric voltage can be generated by thermal gradient with a rotating skyrmion crystal confined in a magnetic disk. We find that the rotation of sk…

cond-mat.stat-mech2023★ 15 cited

Machine-learning detection of the Berezinskii-Kosterlitz-Thouless transition and the second-order phase transition in the XXZ models

Yusuke Miyajima, Masahito Mochizuki

We propose two machine-learning methods based on neural networks, which we respectively call the phase-classification method and the temperature-identification method, for detectin…