magnetoelectric coupling 1NARMA-10 benchmark 1reservoir computing 1superparamagnetic nanodots 1temperature stability 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.ET2026
Reservoir Computing with Heterogeneous Magnetic Metamaterials
R. Yagan, C. Swindells, I. T. Vidamour +6
Physical reservoir computing utilizes the intrinsic nonlinear and history-dependent dynamics of physical systems to perform machine-learning tasks with minimal training overhead. H…
cs.ET2026
Reproducible Reservoir Computing with Thermally Driven Superparamagnets: Controlling Temperature Sensitivity
Zhengfei Chen, Alex Welbourne, Matthew O. A. Ellis +3
The paper simulates how ambient temperature changes affect the dynamics of superparamagnetic nanodot reservoirs and shows that using heterogeneous nanodot sizes can keep performanc…
cs.LG2024
Noise-Aware Training of Neuromorphic Dynamic Device Networks
Luca Manneschi, Ian T. Vidamour, Kilian D. Stenning +13
Physical computing has the potential to enable widespread embodied intelligence by leveraging the intrinsic dynamics of complex systems for efficient sensing, processing, and inter…