Review Articles MORE

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  Recent progress in flexible sensors based on 2D materials

  Abstract Full Text PDF With the rapid development of the Internet of Things (IoT) and wearable electronics, the role of flexible sensors is becoming increasingly irreplaceable, due to their ability to process and convert information acquisition. Two-dimensional (2D) materials have been widely welcomed by researchers as sensitive layers, which broadens the range and application of flexible sensors due to the advantages of their large specific surface area, tunable energy bands, controllable thickness at the atomic level, stable mechanical properties, and excellent optoelectronic properties. This review focuses on five different types of 2D materials for monitoring pressure, humidity, sound, gas, and so on, to realize the recognition and conversion of human body and environmental signals. Meanwhile, the main problems and possible solutions of flexible sensors based on 2D materials as sensitive layers are summarized.

  With the rapid development of the Internet of Things (IoT) and wearable electronics, the role of flexible sensors is becoming increasingly irreplaceable, due to their ability to process and convert information acquisition. Two-dimensional (2D) materials have been widely welcomed by researchers as sensitive layers, which broadens the range and application of flexible sensors due to the advantages of their large specific surface area, tunable energy bands, controllable thickness at the atomic level, stable mechanical properties, and excellent optoelectronic properties. This review focuses on five different types of 2D materials for monitoring pressure, humidity, sound, gas, and so on, to realize the recognition and conversion of human body and environmental signals. Meanwhile, the main problems and possible solutions of flexible sensors based on 2D materials as sensitive layers are summarized.
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  Recent progress on elemental tellurium and its devices

  Abstract Full Text PDF The rapid advancement of information technology has heightened interest in complementary devices and circuits. Conventional p-type semiconductors often lack sufficient electrical performance, thus prompting the search for new materials with high hole mobility and long-term stability. Elemental tellurium (Te), featuring a one-dimensional chiral atomic structure, has emerged as a promising candidate due to its narrow bandgap, high hole mobility, and versatility in industrial applications, particularly in electronics and renewable energy. This review highlights recent progress in Te nanostructures and related devices, focusing on synthesis methods, including vapor deposition and hydrothermal synthesis, which produce Te nanowires, nanorods, and other nanostructures. Critical applications in photodetectors, gas sensors, and energy harvesting devices are discussed, with a special emphasis on their role within the internet of things (IoT) framework, a rapidly growing field that is reshaping our technological landscape. The prospects and potential applications of Te-based technologies are also highlighted.

  The rapid advancement of information technology has heightened interest in complementary devices and circuits. Conventional p-type semiconductors often lack sufficient electrical performance, thus prompting the search for new materials with high hole mobility and long-term stability. Elemental tellurium (Te), featuring a one-dimensional chiral atomic structure, has emerged as a promising candidate due to its narrow bandgap, high hole mobility, and versatility in industrial applications, particularly in electronics and renewable energy. This review highlights recent progress in Te nanostructures and related devices, focusing on synthesis methods, including vapor deposition and hydrothermal synthesis, which produce Te nanowires, nanorods, and other nanostructures. Critical applications in photodetectors, gas sensors, and energy harvesting devices are discussed, with a special emphasis on their role within the internet of things (IoT) framework, a rapidly growing field that is reshaping our technological landscape. The prospects and potential applications of Te-based technologies are also highlighted.
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  Artificial sensory neurons and their applications

  Abstract Full Text PDF With the rapid development of artificial intelligence (AI) technology, the demand for high-performance and energy-efficient computing is increasingly growing. The limitations of the traditional von Neumann computing architecture have prompted researchers to explore neuromorphic computing as a solution. Neuromorphic computing mimics the working principles of the human brain, characterized by high efficiency, low energy consumption, and strong fault tolerance, providing a hardware foundation for the development of new generation AI technology. Artificial neurons and synapses are the two core components of neuromorphic computing systems. Artificial perception is a crucial aspect of neuromorphic computing, where artificial sensory neurons play an irreplaceable role thus becoming a frontier and hot topic of research. This work reviews recent advances in artificial sensory neurons and their applications. First, biological sensory neurons are briefly described. Then, different types of artificial neurons, such as transistor neurons and memristive neurons, are discussed in detail, focusing on their device structures and working mechanisms. Next, the research progress of artificial sensory neurons and their applications in artificial perception systems is systematically elaborated, covering various sensory types, including vision, touch, hearing, taste, and smell. Finally, challenges faced by artificial sensory neurons at both device and system levels are summarized.

  With the rapid development of artificial intelligence (AI) technology, the demand for high-performance and energy-efficient computing is increasingly growing. The limitations of the traditional von Neumann computing architecture have prompted researchers to explore neuromorphic computing as a solution. Neuromorphic computing mimics the working principles of the human brain, characterized by high efficiency, low energy consumption, and strong fault tolerance, providing a hardware foundation for the development of new generation AI technology. Artificial neurons and synapses are the two core components of neuromorphic computing systems. Artificial perception is a crucial aspect of neuromorphic computing, where artificial sensory neurons play an irreplaceable role thus becoming a frontier and hot topic of research. This work reviews recent advances in artificial sensory neurons and their applications. First, biological sensory neurons are briefly described. Then, different types of artificial neurons, such as transistor neurons and memristive neurons, are discussed in detail, focusing on their device structures and working mechanisms. Next, the research progress of artificial sensory neurons and their applications in artificial perception systems is systematically elaborated, covering various sensory types, including vision, touch, hearing, taste, and smell. Finally, challenges faced by artificial sensory neurons at both device and system levels are summarized.
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  Recent advances and future prospects in tactile sensors for normal and shear force detection, decoupling, and applications

  Abstract Full Text PDF Human skin, through its complex mechanoreceptor system, possesses the exceptional ability to finely perceive and differentiate multimodal mechanical stimuli, forming the biological foundation for dexterous manipulation, environmental exploration, and tactile perception. Tactile sensors that emulate this sensory capability, particularly in the detection, decoupling, and application of normal and shear forces, have made significant strides in recent years. This review comprehensively examines the latest research advancements in tactile sensors for normal and shear force sensing, delving into the design and decoupling methods of multi-unit structures, multilayer encapsulation structures, and bionic structures. It analyzes the advantages and disadvantages of various sensing principles, including piezoresistive, capacitive, and self-powered mechanisms, and evaluates their application potential in health monitoring, robotics, wearable devices, smart prosthetics, and human-machine interaction. By systematically summarizing current research progress and technical challenges, this review aims to provide forward-looking insights into future research directions, driving the development of electronic skin technology to ultimately achieve tactile perception capabilities comparable to human skin.

  Human skin, through its complex mechanoreceptor system, possesses the exceptional ability to finely perceive and differentiate multimodal mechanical stimuli, forming the biological foundation for dexterous manipulation, environmental exploration, and tactile perception. Tactile sensors that emulate this sensory capability, particularly in the detection, decoupling, and application of normal and shear forces, have made significant strides in recent years. This review comprehensively examines the latest research advancements in tactile sensors for normal and shear force sensing, delving into the design and decoupling methods of multi-unit structures, multilayer encapsulation structures, and bionic structures. It analyzes the advantages and disadvantages of various sensing principles, including piezoresistive, capacitive, and self-powered mechanisms, and evaluates their application potential in health monitoring, robotics, wearable devices, smart prosthetics, and human-machine interaction. By systematically summarizing current research progress and technical challenges, this review aims to provide forward-looking insights into future research directions, driving the development of electronic skin technology to ultimately achieve tactile perception capabilities comparable to human skin.