Inorganic halide perovskite quantum dots: a versatile nanomaterial platform for electronic applications
Metal halide perovskites have generated significant attention in recent years because of
their extraordinary physical properties and photovoltaic performance. Among these …
their extraordinary physical properties and photovoltaic performance. Among these …
Memristor-based neural networks: a bridge from device to artificial intelligence
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 …
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
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 …
Photoelectric memristor-based machine vision for artificial intelligence applications
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 …
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
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 …
computing systems are gradually inadequate for satisfying the demands of future data …
Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …
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
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 …
secure the linearity and symmetry in weight update characteristics of the memristor, and …
From spintronic memristors to quantum computing
The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …
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
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 …
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 …
overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an …