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 …
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …
Synaptic devices based neuromorphic computing applications in artificial intelligence
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …
nanoelectronic devices, which are expected to subvert traditional data storage and …
Progress of materials and devices for neuromorphic vision sensors
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 …
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
Metal‐halide perovskites have drawn profuse attention during the past decade, owing to
their excellent electrical and optical properties, facile synthesis, efficient energy conversion …
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
With the current research impetus on neuromorphic computing hardware, realizing efficient
drift and diffusive memristors are considered critical milestones for the implementation of …
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 …
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 …
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
Recently, artificial synapses involving an electrochemical reaction of Li-ion have been
attributed to have remarkable synaptic properties. Three-terminal synaptic transistors …
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 …
capacitors, and inductors. Although this concept has only been proposed in 1971 and …
Enhanced Optical Properties and Stability of CsPbBr3 Nanocrystals Through Nickel Doping
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 …
and optical properties are optimized by varying the concentration of Ni doping in CsPbBr3 …