Recent advances and future prospects for memristive materials, devices, and systems

MK Song, JH Kang, X Zhang, W Ji, A Ascoli… - ACS …, 2023 - ACS Publications
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Hafnium Oxide (HfO2) – A Multifunctional Oxide: A Review on the Prospect and Challenges of Hafnium Oxide in Resistive Switching and Ferroelectric Memories

W Banerjee, A Kashir, S Kamba - Small, 2022 - Wiley Online Library
Hafnium oxide (HfO2) is one of the mature high‐k dielectrics that has been standing strong
in the memory arena over the last two decades. Its dielectric properties have been …

Emerging memristive artificial synapses and neurons for energy‐efficient neuromorphic computing

S Choi, J Yang, G Wang - Advanced Materials, 2020 - Wiley Online Library
Memristors have recently attracted significant interest due to their applicability as promising
building blocks of neuromorphic computing and electronic systems. The dynamic …

In-memory computing with resistive switching devices

D Ielmini, HSP Wong - Nature electronics, 2018 - nature.com
Modern computers are based on the von Neumann architecture in which computation and
storage are physically separated: data are fetched from the memory unit, shuttled to the …

Flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics

HL Park, Y Lee, N Kim, DG Seo, GT Go… - Advanced …, 2020 - Wiley Online Library
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Ferroelectric analog synaptic transistors

MK Kim, JS Lee - Nano letters, 2019 - ACS Publications
Neuromorphic computing is a promising alternative to conventional computing systems as it
could enable parallel computation and adaptive learning process. However, the …

[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

Y Zhang, Z Wang, J Zhu, Y Yang, M Rao… - Applied Physics …, 2020 - pubs.aip.org
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

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 …

Emerging memory devices for neuromorphic computing

NK Upadhyay, H Jiang, Z Wang… - Advanced Materials …, 2019 - Wiley Online Library
A neuromorphic computing system may be able to learn and perform a task on its own by
interacting with its surroundings. Combining such a chip with complementary metal–oxide …