The past decade has witnessed dramatic progress related to various aspects of emergent topological polar textures in oxide nanostructures displaying vortices, skyrmions, merons …
Current-induced spin-orbit torque (SOT) is attracting increasing interest and exciting significant research activity. We aim to provide a comprehensive review of recent progress in …
Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the …
Analog machine learning hardware platforms promise to be faster and more energy efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural …
The current data revolution has, in part, been enabled by decades of research into magnetism and spin phenomena. For example, milestones such as the observation of giant …
The spontaneous magnetic orders arising in ferro-, ferri-and antiferromagnets stem from various magnetic interactions. Depending on the interplay and competition among the …
The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as …
G Csaba, W Porod - Applied physics reviews, 2020 - pubs.aip.org
Coupled oscillators are highly complex dynamical systems, and it is an intriguing concept to use this oscillator dynamics for computation. The idea is not new, but is currently the subject …
K Yang, J Joshua Yang, R Huang, Y Yang - Small Science, 2022 - Wiley Online Library
As semiconductor technology enters the more than Moore era, there exists an apparent contradiction between the rapidly growing demands for data processing and the visible …