A Zero External Magnetic Field Quantum Standard of Resistance at the 10⁻⁹ Level

Academic Background and Problem Statement In metrology, the quantum Hall effect (QHE) and the Josephson effect respectively provide quantum standards for electrical resistance (ohm) and voltage (volt). However, conventional quantum Hall resistance standards (QHRs) rely on strong external magnetic fields (typically requiring superconducting magnets ...

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...

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...

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...

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...