Nanostructured perovskites for nonvolatile memory devices

Q Liu, S Gao, L Xu, W Yue, C Zhang, H Kan… - Chemical Society …, 2022 - pubs.rsc.org
Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

Synaptic devices based neuromorphic computing applications in artificial intelligence

B Sun, T Guo, G Zhou, S Ranjan, Y Jiao, L Wei… - Materials Today …, 2021 - Elsevier
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Progress of materials and devices for neuromorphic vision sensors

SW Cho, C Jo, YH Kim, SK Park - Nano-Micro Letters, 2022 - Springer
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …

Low‐dimensional metal‐halide perovskites as high‐performance materials for memory applications

X Guan, Z Lei, X Yu, CH Lin, JK Huang, CY Huang… - Small, 2022 - Wiley Online Library
Metal‐halide perovskites have drawn profuse attention during the past decade, owing to
their excellent electrical and optical properties, facile synthesis, efficient energy conversion …

Diffusive and drift halide perovskite memristive barristors as nociceptive and synaptic emulators for neuromorphic computing

RA John, N Yantara, SE Ng, MIB Patdillah… - Advanced …, 2021 - Wiley Online Library
With the current research impetus on neuromorphic computing hardware, realizing efficient
drift and diffusive memristors are considered critical milestones for the implementation of …

Bidirectional All‐Optical Synapses Based on a 2D Bi2O2Se/Graphene Hybrid Structure for Multifunctional Optoelectronics

CM Yang, TC Chen, D Verma, LJ Li… - Advanced Functional …, 2020 - Wiley Online Library
Neuromorphic computing has been extensively studied to mimic the brain functions of
perception, learning, and memory because it may overcome the von Neumann bottleneck …

Organic and perovskite memristors for neuromorphic computing

HL Park, TW Lee - Organic Electronics, 2021 - Elsevier
Organic and perovskite memristors have superior characteristics both in material and
structural perspectives, and therefore have been evaluated for possible integration as bio …

Two-terminal lithium-mediated artificial synapses with enhanced weight modulation for feasible hardware neural networks

JH Baek, KJ Kwak, SJ Kim, J Kim, JY Kim, IH Im… - Nano-Micro Letters, 2023 - Springer
Recently, artificial synapses involving an electrochemical reaction of Li-ion have been
attributed to have remarkable synaptic properties. Three-terminal synaptic transistors …

Recent advances in halide perovskite memristors: materials, structures, mechanisms, and applications

X Xiao, J Hu, S Tang, K Yan, B Gao… - Advanced Materials …, 2020 - Wiley Online Library
The memristor is the fourth fundamental circuit element discovered after resistors,
capacitors, and inductors. Although this concept has only been proposed in 1971 and …

Enhanced Optical Properties and Stability of CsPbBr3 Nanocrystals Through Nickel Doping

H Kim, SR Bae, TH Lee, H Lee, H Kang… - Advanced Functional …, 2021 - Wiley Online Library
To improve the quantum efficiency and stability of perovskite quantum dots, the structural
and optical properties are optimized by varying the concentration of Ni doping in CsPbBr3 …