Recent advances in transistor‐based artificial synapses

S Dai, Y Zhao, Y Wang, J Zhang, L Fang… - Advanced Functional …, 2019 - Wiley Online Library
Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …

Neuro-inspired computing with emerging nonvolatile memorys

S Yu - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
This comprehensive review summarizes state of the art, challenges, and prospects of the
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …

Recent progress in resistive random access memories: Materials, switching mechanisms, and performance

F Pan, S Gao, C Chen, C Song, F Zeng - Materials Science and …, 2014 - Elsevier
This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …

A synaptic transistor based on quasi‐2D molybdenum oxide

CS Yang, DS Shang, N Liu, G Shi, X Shen… - Advanced …, 2017 - Wiley Online Library
Biological synapses store and process information simultaneously by tuning the connection
between two neighboring neurons. Such functionality inspires the task of hardware …

Synaptic electronics: materials, devices and applications

D Kuzum, S Yu, HSP Wong - Nanotechnology, 2013 - iopscience.iop.org
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

Memristors for energy‐efficient new computing paradigms

DS Jeong, KM Kim, S Kim, BJ Choi… - Advanced Electronic …, 2016 - Wiley Online Library
In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems

H Shim, K Sim, F Ershad, P Yang, A Thukral, Z Rao… - Science …, 2019 - science.org
Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied
animals, such as earthworms, could be seamlessly integrated onto soft machines toward …

A Robust Memristor Based on Epitaxial Vertically Aligned Nanostructured BaTiO3−CeO2 Films on Silicon

X Yan, H He, G Liu, Z Zhao, Y Pei, P Liu… - Advanced …, 2022 - Wiley Online Library
With the exploration of ferroelectric materials, researchers have a strong desire to explore
the next generation of non‐volatile ferroelectric memory with silicon‐based epitaxy, high …

[HTML][HTML] From biomaterial-based data storage to bio-inspired artificial synapse

Z Lv, Y Zhou, ST Han, VAL Roy - Materials today, 2018 - Elsevier
The implementation of biocompatible and biodegradable information storage would be a
significant step toward next-generation green electronics. On the other hand, benefiting from …

Nonvolatile memory materials for neuromorphic intelligent machines

DS Jeong, CS Hwang - Advanced Materials, 2018 - Wiley Online Library
Recent progress in deep learning extends the capability of artificial intelligence to various
practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis …