Inorganic halide perovskite quantum dots: a versatile nanomaterial platform for electronic applications

CY Huang, H Li, Y Wu, CH Lin, X Guan, L Hu, J Kim… - Nano-Micro Letters, 2023 - Springer
Metal halide perovskites have generated significant attention in recent years because of
their extraordinary physical properties and photovoltaic performance. Among these …

Memristor-based neural networks: a bridge from device to artificial intelligence

Z Cao, B Sun, G Zhou, S Mao, S Zhu, J Zhang… - Nanoscale …, 2023 - pubs.rsc.org
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

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 …

Photoelectric memristor-based machine vision for artificial intelligence applications

C Yang, B Sun, G Zhou, T Guo, C Ke, Y Chen… - ACS Materials …, 2023 - ACS Publications
With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

S Ling, C Zhang, C Ma, Y Li… - Advanced Functional …, 2023 - Wiley Online Library
Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing

H Bian, YY Goh, Y Liu, H Ling, L **e… - Advanced Materials, 2021 - Wiley Online Library
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Filamentary and interface-type memristors based on tantalum oxide for energy-efficient neuromorphic hardware

M Kim, MA Rehman, D Lee, Y Wang… - … applied materials & …, 2022 - ACS Publications
To implement artificial neural networks (ANNs) based on memristor devices, it is essential to
secure the linearity and symmetry in weight update characteristics of the memristor, and …

From spintronic memristors to quantum computing

J Qin, B Sun, G Zhou, T Guo, Y Chen, C Ke… - ACS Materials …, 2023 - ACS Publications
The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …

Down-scalable and ultra-fast memristors with ultra-high density three-dimensional arrays of perovskite quantum wires

S Poddar, Y Zhang, L Gu, D Zhang, Q Zhang, S Yan… - Nano Letters, 2021 - ACS Publications
With strikingly high speed, data retention ability and storage density, resistive RAMs have
emerged as a forerunning nonvolatile memory. Here we developed a Re-RAM with ultra …

Tunable Resistive Switching in 2D MXene Ti3C2 Nanosheets for Non-Volatile Memory and Neuromorphic Computing

X Zhang, H Chen, S Cheng, F Guo… - ACS Applied Materials …, 2022 - ACS Publications
An artificial synapse is essential for neuromorphic computing which has been expected to
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …