Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
Neuromorphic computing has been gaining momentum for the past decades and has been
appointed as the replacer of the outworn technology in conventional computing systems …
appointed as the replacer of the outworn technology in conventional computing systems …
InP quantum dots tailored oxide thin film phototransistor for bioinspired visual adaptation
Z Gao, X Ju, H Zhang, X Liu, H Chen… - Advanced Functional …, 2023 - Wiley Online Library
The exploration of bionic neuromorphic chips, capable of processing sensory data in a
human‐like manner, is both a trend and a challenge. There is a strong demand for …
human‐like manner, is both a trend and a challenge. There is a strong demand for …
Linear and symmetric synaptic weight update characteristics by controlling filament geometry in oxide/suboxide HfOx bilayer memristive device for neuromorphic …
Memristive devices have been explored as electronic synaptic devices to mimic biological
synapses for developing hardware-based neuromorphic computing systems. However …
synapses for developing hardware-based neuromorphic computing systems. However …
1-Selector 1-Memristor Configuration with Multifunctional a-IGZO Memristive Devices Fabricated at Room Temperature
JC Li, YX Ma, SH Wu, ZC Liu, PF Ding… - … Applied Materials & …, 2024 - ACS Publications
Serving as neuromorphic hardware accelerators, memristors play a crucial role in large-
scale neuromorphic computing. Herein, two-terminal memristors utilizing amorphous indium …
scale neuromorphic computing. Herein, two-terminal memristors utilizing amorphous indium …
Flexible active crossbar arrays using amorphous oxide semiconductor technology toward artificial neural networks hardware
ME Pereira, J Deuermeier, C Figueiredo… - Advanced Electronic …, 2022 - Wiley Online Library
Memristor crossbar arrays can compose the efficient hardware for artificial intelligent
applications. However, the requirements for a linear and symmetric synaptic weight update …
applications. However, the requirements for a linear and symmetric synaptic weight update …
Large scale integrated IGZO crossbar memristor array based artificial neural architecture for scalable in-memory computing
Neuromorphic systems based on memristor arrays have not only addressed the von
Neumann bottleneck issue but have also enabled the development of computing …
Neumann bottleneck issue but have also enabled the development of computing …
[HTML][HTML] Ultra-large dynamic range synaptic indium gallium zinc oxide transistors
Three-terminal neuromorphic transistors have garnered considerable attention owing to
their superior learning and recognition capabilities in neural computing. For efficient and …
their superior learning and recognition capabilities in neural computing. For efficient and …
Perspective: Zinc‐Tin Oxide Based Memristors for Sustainable and Flexible In‐Memory Computing Edge Devices
As the Internet of things (IOT) industry continues to grow with an ever‐increasing number of
connected devices, the need for processing large amounts of data in a fast and energy …
connected devices, the need for processing large amounts of data in a fast and energy …
[HTML][HTML] Probing resistive switching in HfO2/Al2O3 bilayer oxides using in-situ transmission electron microscopy
In this work, we investigate the resistive switching in hafnium dioxide (HfO 2) and aluminum
oxide (Al 2 O 3) bilayered stacks using in-situ transmission electron microscopy and X-ray …
oxide (Al 2 O 3) bilayered stacks using in-situ transmission electron microscopy and X-ray …
Factors determining the resistive switching behavior of transparent InGaZnO‐Based memristors
The overarching goal herein is to identify the factors dominating the performance of a‐IGZO‐
based memristors. Despite the highest on/off ratio, greater than 104 with a preferred minimal …
based memristors. Despite the highest on/off ratio, greater than 104 with a preferred minimal …