Towards Sustainable Perovskite Light-Emitting Diodes

As global attention to energy efficiency and environmental sustainability continues to grow, light-emitting diode (LED) technology has become a mainstream choice in the lighting and display sectors. However, despite significant advancements in the energy efficiency and performance of traditional LEDs, their reliance on rare materials during manufac...

Covalent Heterostructures of Ultrathin Amorphous Carbon Nitride and Si for High-Performance Vertical Photodiodes

Carbon nitride (CN), as a two-dimensional n-type semiconductor material, exhibits great potential in light-driven energy conversion and environmental applications due to its excellent photocatalytic activity and stability. However, despite its outstanding performance in photocatalysis, the application of CN in optoelectronic devices, especially sil...

Interdisciplinary Advances in Microcombs: Bridging Physics and Information Technology

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...

Impact of Device Design Parameters on Quantum Efficiency of Solar Cells and Revelation of Recombination Mechanism

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...

Design and Study of Graphene-Based Programmable Dual Dipole Antenna with Parasitic Elements

Design and Study of Graphene-Based Programmable Dual Dipole Antenna with Parasitic Elements

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...

Structural Design of a Mid-Infrared Low-Noise Waveguide Photodetector Integrated with an Ultra-Short Waveguide Taper

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 Non-Toxic Cs2TiBr6 Single-Halide Perovskite Solar Cells

Numerical Simulation and Performance Optimization of Non-Toxic Cs2TiBr6 Single-Halide Perovskite Solar Cells

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...

Flexible No-Drift Data Glove Using Ultrathin Silicon for the Metaverse

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

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...

Deep Bayesian Active Learning Using In-Memory Computing Hardware

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...