Interdisciplinary Advances in Microcomb Technology: Bridging Physics and Information Technology Academic Background The optical frequency comb (OFC) is a technology that divides the optical frequency domain into a series of discrete, equally spaced frequency lines. It has been widely used in precision measurements, optical communications, atomic cl...
Study on Quantum Efficiency and Recombination Mechanism of Solar Cells Academic Background In the field of solar cell research, quantum efficiency (Quantum Efficiency, QE) is a core metric for evaluating device performance. It reflects the efficiency of incident photons being converted into electron-hole pairs, thereby revealing key information abo...
Graphene-based Programmable Dual Dipole Antenna Academic Background The terahertz (THz) band (0.1 to 10 THz) has garnered significant attention in fields such as wireless communication, high-resolution imaging, and body-centric communication due to its distinctive characteristics. However, a major drawback of terahertz waves is the substantial prop...
Academic Background The mid-infrared spectrum range (2.5 to 20 µm) is widely used in gas detection, optical communication, high-quality imaging, bacterial research, and soil composition analysis due to its characteristic absorption peaks of many molecular bonds. Among these applications, waveguide photodetectors have become a key component in photo...
Numerical Simulation and Performance Optimization of Perovskite Solar Cells: A Study Based on Cs₂TiBr₆ Material Academic Background In recent years, perovskite solar cells (Perovskite Solar Cells, PSCs) have garnered significant attention due to their excellent optoelectronic properties. These materials possess advantages such as appropriate bandga...
Academic Background With the rapid development of the Metaverse, human-machine interface (HMI) technology has become a key link between virtual space and human users. Among these, gesture recognition technology is particularly important in the Metaverse, especially the precise capture of finger movements. Traditional bending sensors used for gestur...
Deep Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring Academic Background Electronic skin (e-skin) is a technology capable of sensing physiological and environmental stimuli, mimicking human skin functions. In recent years, the potential applications of e-skin in fields such as robotics, sports science, and healthcare monitori...
With the rapid development of artificial intelligence (AI) technologies, deep learning has made significant progress in complex tasks. However, the success of deep learning largely relies on massive amounts of labeled data, and the data labeling process is not only time-consuming and labor-intensive but also requires specialized domain knowledge, m...
Monolithic 3D IGZO-RRAM-SRAM Compute-in-Memory Architecture: A Breakthrough in Improving Neural Network Computation Efficiency Background and Research Motivation As neural networks (NNs) continue to find applications in artificial intelligence, traditional computing architectures struggle to meet their needs for energy efficiency, speed, and densit...
Report on the Integration of High-κ Gallium Oxide in 2D Transistors Academic Background With the continuous advancement in semiconductor technology, 2D materials (such as molybdenum disulfide, MoS₂) are considered promising candidates for next-generation transistor channel materials due to their unique electrical properties and atomic-scale thickne...