High-Performance p-Type Field-Effect Transistors Using Substitutional Doping and Thickness Control of Two-Dimensional Materials

High-Performance P-Type Field-Effect Transistors: Substitutional Doping and Thickness Control in Two-Dimensional Materials Academic Background As semiconductor technology progresses, silicon-based field-effect transistors (FETs) are approaching fundamental physical limits in performance enhancement. To overcome these challenges, researchers have be...

Scaled Vertical-Nanowire Heterojunction Tunnelling Transistors with Extreme Quantum Confinement

A Breakthrough in Achieving High-Performance, Energy-Efficient Electronics Using Vertically Scaled Nanowire Heterojunction Tunneling Transistors under Extreme Quantum Confinement Academic Background The rapid development of data-driven computing and artificial intelligence has set higher demands for energy-efficient electronic devices. However, fur...

A Wearable Echomyography System Based on a Single Transducer

Innovative Advances in Wearable Single-Transducer Echomyography Systems: From Muscle Dynamics Monitoring to Complex Gesture Tracking Academic Background and Research Significance In recent years, wearable electronic devices have garnered significant attention for their enormous potential in health monitoring and human-machine interaction. Electromy...

A Digitally Embroidered Metamaterial Biosensor for Kinetic Environments

A Digitally Embroidered Metamaterial Biosensor for Kinetic Environments

Digitally Embroidered Metamaterial Biosensor: Non-Contact Physiological Monitoring in Dynamic Environments Recent years have witnessed rapid development of sensor technologies driven by demands in smart vehicles, aviation safety, and health monitoring. However, for physiological signal detection in dynamic environments, traditional sensors face sig...

Memristors with Analogue Switching and High On/Off Ratios Using a Van der Waals Metallic Cathode

Research on Analog Memristors with Large On/Off Ratios Using 2D Van der Waals Metallic Cathodes Academic Background With the rapid development of artificial intelligence (AI) applications, traditional Von Neumann architectures are facing performance bottlenecks in data-intensive computing tasks. Neuromorphic computing is an emerging paradigm capabl...