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

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...

An On-Chip Full-Stokes Polarimeter Based on Optoelectronic Polarization Eigenvectors

Research on On-Chip Full-Stokes Polarimeters Based on Optoelectronic Polarization Eigenvectors Academic Background The polarization state of light plays a significant role in optical communication, biomedical diagnostics, remote sensing, cosmology, and other fields. The Stokes vector, consisting of four parameters, is used to fully describe the pol...

A Seamless Graphene Spin Valve Based on Proximity to Van der Waals Magnet Cr2Ge2Te6

Construction of a Seamless Graphene Spin Valve: Proximity Effects from van der Waals Magnet Cr₂Ge₂Te₆ Research Background and Significance Graphene, as a two-dimensional material, has significant potential applications in spintronics due to its excellent electron transport properties and long spin diffusion length. However, graphene’s intrinsic spi...

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...

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...