Xingsen Gao

Interfacial spin dynamics in Bi₂Te₃(6 nm)/ Ni₈₁Fe₁₉ (t) bilayers probed by spin-torque ferromagnetic resonance and Brillouin light scattering

Shuo Yang, Zengxin Wei, Yifan Zhang, Xu Zhang et autres

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Deterministic Linear Modulation of Multistate Conductance of 2D/Ferroelectric Heterojunction Through the Controlled Nucleation

Fengyuan Zhang, Shuai Su, Yufang Tu, Luyong Zhang et autres

ABSTRACT 2D semiconductor/ferroelectric heterojunctions are promising for in‐memory neuromorphic computing, though the inherently nonlinear switching dynamics of ferroelectrics impose serious challenges, leading to undesirable nonlinearity in their voltage‐pulse‐modulated multistate conductance. In this work, we propose an effective strategy to overcome such difficulty, …

cn (code pays fourni par la source)

Implementation of restricted Boltzmann machine using ferroelectric-based stochastic neurons and deterministic synapses

Haoyue Deng, Jing Lü, Zhen Fan, Nan Zhang et autres

Restricted Boltzmann machine (RBM) is a typical stochastic neural network with wide applications in image generation and recognition. Hardware implementation of RBMs using emerging devices (e.g., memristors) is promising for high energy efficiency, but it remains challenging because the devices with distinctly …

cn (code pays fourni par la source)

Ultralow-power reservoir computing based on bidirectionally operable ferroelectric capacitors with tunable time constants

Linyuan Mo, Zhen Fan, Jiali Ou, Zhiwei Chen et autres

Physical reservoir computing (RC) systems have emerged as a prominent research frontier due to their exceptional efficiency in temporal information processing. However, existing implementations, predominantly utilizing resistive devices, face challenges pertaining to power efficiency and dynamic richness. Here, we propose a ferroelectric …

cn (code pays fourni par la source)