Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
Solution-processed memristors: performance and reliability
Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …
information storage, artificial intelligence cryptography and telecommunication. Memristive …
Thousands of conductance levels in memristors integrated on CMOS
Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …
energy efficiency for machine learning, and artificial intelligence, especially in edge …
Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing
Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …
image sensing, memory and computing unit interface, thus promising for latency-and energy …
Integrated optical memristors
Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …
circuit elements to neuromorphic computing. In recent years, the ability to vary the …
Electrochemical‐memristor‐based artificial neurons and synapses—fundamentals, applications, and challenges
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …
Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics
Neuromorphic computing memristors are attractive to construct low-power-consumption
electronic textiles due to the intrinsic interwoven architecture and promising applications in …
electronic textiles due to the intrinsic interwoven architecture and promising applications in …
Memristor-based adaptive neuromorphic perception in unstructured environments
Efficient operation of control systems in robotics or autonomous driving targeting real-world
navigation scenarios requires perception methods that allow them to understand and adapt …
navigation scenarios requires perception methods that allow them to understand and adapt …
An artificial visual neuron with multiplexed rate and time-to-first-spike coding
Human visual neurons rely on event-driven, energy-efficient spikes for communication, while
silicon image sensors do not. The energy-budget mismatch between biological systems and …
silicon image sensors do not. The energy-budget mismatch between biological systems and …
An ultrasmall organic synapse for neuromorphic computing
High‐performance organic neuromorphic devices with miniaturized device size and
computing capability are essential elements for develo** brain‐inspired humanoid …
computing capability are essential elements for develo** brain‐inspired humanoid …