Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor–One-Memristor Array

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
in-sensor computing   photonic memristors   neural network architectures   image processing   machine vision  

Report on the Academic Paper: “Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor-One-Memristor Array: A New Visual Computing Platform Combining Machine Learning and Brain-Inspired Neural Networks” Academic Background and Problem Identification Artificial vision systems play a significant role in intelligent edge computing. Howeve...

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

Physics, Condensed Matter Physics, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
two-dimensional materials   p-type field-effect transistors   substitutional doping   thickness control   contact resistance   quantum confinement effects   transition metal dichalcogenides  

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

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Semiconductors and Information Devices,
vertical nanowire   heterojunction   tunnelling transistor   quantum confinement   low-voltage operation   high drive current   subthreshold swing  

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...

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

Physics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
memristor   van der Waals metal   analogue switching   high on/off ratio   neuromorphic computing   silver ion intercalation   low power consumption  

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...

Light-Emitting Diodes Based on Intercalated Transition Metal Dichalcogenides with Suppressed Efficiency Roll-Off at High Generation Rates

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
light-emitting diodes   transition metal dichalcogenides   efficiency roll-off   exciton-exciton annihilation   photoluminescence   electroluminescence   quantum efficiency  

Research Report on Light-emitting Diodes Based on Intercalated Transition Metal Dichalcogenides with Suppressed Efficiency Roll-off at High Generation Rates Background and Research Significance In recent years, light-emitting diodes (LEDs) based on two-dimensional (2D) materials have shown promising applications in fields such as display technology...