activity
20142026
most citedThe 2020 Skyrmionics Roadmap

375 citations · 2.5k across the 61 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

11 papers · 1 filter

cond-mat.mtrl-sci2026

Inferring Magnetic Material Parameters from Statistical Measures in Strongly Fluctuating Magnetization Dynamics

Kübra Kalkan, Atreya Majumdar, Ross Knapman +5

Magnetic material parameters such as the exchange stiffness and magnetic anisotropy govern the behavior and functionality of magnetic systems, yet their local inference from magnet…

cond-mat.mtrl-sci2026

Photo-induced currents and short-term memory for reservoir computing in a ferroelectric semiconductor

Yan Meng Chong, Atreya Majumdar, Manuel Zahn +3

Physical reservoir computing represents an energy efficient approach for processing temporal signals by exploiting the intrinsic nonlinear dynamics and fading memory of a physical…

cond-mat.mtrl-sci2026

Quasi-1D Spin Textures: From Chiral Soliton Lattice to Fan State

M. Winter, A. Pignedoli, A. S. Sukhanov +18

In most helimagnets, an applied magnetic field aligns the propagation direction of a helical spin texture with the field, resulting in a conical state and obscuring the unwinding p…

cond-mat.mtrl-sci2026

Defect Detection in Magnetic Systems Using U-Net and Statistical Measures

Ross Knapman, Atreya Majumdar, Nasim Bazazzadeh +4

Local material inhomogeneities can strongly influence magnetization dynamics and macroscopic magnetic properties, yet detecting such defects from magnetic imaging data remains chal…

cond-mat.mtrl-sci2025

Field-induced condensation of to 2 soliton lattices in chiral magnets

M. Winter, A. Pignedoli, M. C. Rahn +19

Chiral soliton lattices (CSLs) are nontrivial spin textures that emerge from the competition between Dzyaloshinskii-Moriya interaction, anisotropy, and magnetic fields. While well…

cond-mat.mtrl-sci2024

Neuromorphic Spintronics

Atreya Majumdar, Karin Everschor-Sitte

Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the…

cond-mat.mtrl-sci2023

Revealing the ultra-fast domain wall motion in Manganese Gold through permalloy capping

Sarah Jenkins, Tobias Wagner, Olena Gomonay +1

Antiferromagnets offer much faster dynamics compared to their ferromagnetic counterparts but their order parameter is extremely difficult to detect and control. So far, controlling…

cond-mat.mtrl-sci2022★ 66 cited

Skyrmion pinning energetics in thin film systems

Raphael Gruber, Jakub Zázvorka, Maarten A. Brems +7

A key issue for skyrmion dynamics and devices are pinning effects present in real systems. While posing a challenge for the realization of conventional skyrmionics devices, exploit…

cond-mat.mtrl-sci2021★ 6 cited

Dzyaloshinskii-Moriya Induced Spin-Transfer Torques in Kagome Antiferromagnets

Davi R. Rodrigues, Akshaykumar Salimath, Karin Everschor-Sitte +1

In recent years antiferromagnets (AFMs) have become very promising for nanoscale spintronic applications due to their unique properties such as THz dynamics and absence of stray fi…

cond-mat.mtrl-sci2021★ 44 cited

Readout of a antiferromagnetic spintronics systems by strong exchange coupling of Mn2Au and Permalloy

S. P. Bommanaboyena, D. Backes, L. S. I. Veiga +14

In antiferromagnetic spintronics, the read-out of the staggered magnetization or Neel vector is the key obstacle to harnessing the ultra-fast dynamics and stability of antiferromag…

cond-mat.mtrl-sci2018★ 350 cited

Thermal skyrmion diffusion applied in probabilistic computing

Jakub Zázvorka, Florian Jakobs, Daniel Heinze +11

Thermally activated processes are key to understanding the dynamics of physical systems. Thermal diffusion of (quasi-)particles for instance not only yields information on transpor…