[HTML][HTML] AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing

J Chen, H Du, H Qu, H Gao, Y Gu, Y Zhu, W Ye… - APL Machine …, 2024 - pubs.aip.org
Artificial optoelectronic synaptic transistors have attracted extensive research interest as an
essential component for neuromorphic computing systems and brain emulation applications …

Adjustable artificial neuron based on vortex magnetic tunnel junction

Y Wu, Y Luo, L Zhang, S Dai, B Zhang, Y Zhou… - Applied Physics …, 2024 - pubs.aip.org
In this Letter, we demonstrate an adjustable artificial neuron based on vortex magnetic
tunnel junction (MTJ). By applying a bias current to vortex MTJ, the device exhibits splendid …

Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses

G Bernard, K Cottart, MA Syskaki, V Porée, A Resta… - Nano Letters, 2025 - ACS Publications
Multifunctional hardware technologies for neuromorphic computing are essential for
replicating the complexity of biological neural systems, thereby improving the performance …

[HTML][HTML] Emerging non-volatile memory (NVM) technologies based nano-oscillators: Materials to applications

M Kumar, M Suri - Journal of Applied Physics, 2024 - pubs.aip.org
This comprehensive study provides a detailed review toward ongoing research on emerging
non-volatile memory technologies based nano-oscillators, ie, from the perspective of …

Microwave artificial neurons based on magnetic tunnel junction nano-oscillators for image recognition and denoising

L Zhang, Z Liu, K Zeng, Y Luo, J Zeng… - Japanese Journal of …, 2024 - iopscience.iop.org
We report a microwave artificial neuron based on magnetic tunnel junction spin torque nano-
oscillator (STNO). Based on STNO neurons, the three-layer full connected artificial neural …

Analog Spiking-Rate Neuromorphic System for Efficient RF Source Localization

Z Jouni, S Wang, A Benlarbi-Delai… - 2024 31st IEEE …, 2024 - ieeexplore.ieee.org
Radiofrequency localization is pivotal for the internet of things ecosystem, requiring
solutions that are both precise and energy-efficient. While traditional machine learning and …