activity
20192024
most citedForecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

45 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 9 cited

Self-Contrastive Forward-Forward Algorithm

Xing Chen, Dongshu Liu, Jeremie Laydevant +1

Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, wh…

physics.app-ph2024★ 4 cited

Interlayer Dzyaloshinskii-Moriya interaction in synthetic ferrimagnets

Shen Li, Mouad Fattouhi, Tianxun Huang +10

The antisymmetric interlayer exchange interaction, i.e., interlayer Dzyaloshinskii-Moriya interaction (IL-DMI) has attracted significant interest since this long-range chiral spin…

cs.LG2021★ 45 cited

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Xing Chen, Flavio Abreu Araujo, Mathieu Riou +6

Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques hav…

physics.app-ph2019★ 29 cited

Thermal Brownian Motion of Skyrmion for True Random Number Generation

Yong Yao, Xing Chen, Wang Kang +2

The true random number generators (TRNGs) have received extensive attention because of their wide applications in information transmission and encryption. The true random numbers g…

physics.app-ph2019★ 7 cited

Magnetic skyrmion spectrum under voltage excitation and its linear modulation

Xing Chen, Wang Kang, Daoqian Zhu +5

Magnetic skyrmions are topological quasiparticles with great potential for applications in future information storage and processing devices because of their nanoscale size, high s…