Giant Electron-Mediated Phononic Nonlinearity in Semiconductor–Piezoelectric Heterostructures

Giant Electron-Mediated Phononic Nonlinearity in Semiconductor–Piezoelectric Heterostructures

Large Electron-Mediated Phonon Nonlinearity in Semiconductor-Piezoelectric Heterostructures In modern science and technology, the efficiency and determinacy of information processing are crucial determinants of its application potential. Nonlinear photonic interactions at optical frequencies have already demonstrated significant breakthroughs in bo...

Clamping Enables Enhanced Electromechanical Responses in Antiferroelectric Thin Films

Study on Enhanced Electromechanical Response of Antiferroelectric Thin Films Based on Clamping Effect Background Antiferroelectric thin film materials have garnered significant attention for their potential applications in micro/nano electromechanical systems. These systems require materials with high electromechanical responses, capable of generat...

Phase Segregation and Nanoconfined Fluid O2 in a Lithium-Rich Oxide Cathode

Dynamic and Thermodynamic Study of Structural Changes in Lithium-Ion Battery Cathode Materials Academic Background and Research Motivation Lithium-ion batteries are a crucial power source for modern portable electronic devices and electric vehicles, traditionally using layered LiCoO2 cathode materials. However, the ongoing demand for high energy de...

Regulation of Metal Bond Strength Enables Large-Scale Synthesis of Intermetallic Nanocrystals for Practical Fuel Cells

In recent years, fuel cells, as a clean and renewable energy technology, have garnered widespread attention. However, the extensive application of fuel cells faces the challenge of the stability of oxygen reduction reaction (ORR) electrocatalysts. L10-structured intermetallic nanocrystals (INCs) with chemically ordered structures, due to their lowe...

A Grid Fault Diagnosis Framework Based on Adaptive Integrated Decomposition and Cross-Modal Attention Fusion

A Grid Fault Diagnosis Framework Based on Adaptive Integrated Decomposition and Cross-Modal Attention Fusion Research Background With the continuous expansion and increasing complexity of modern power systems, the stable operation of the grid faces growing challenges. Grid faults can occur due to natural disasters, equipment failures, and local gri...

Fast Synchronization Control and Application for Encryption-Decryption of Coupled Neural Networks with Intermittent Random Disturbance

Fast Synchronization Control and Application for Encryption-Decryption of Coupled Neural Networks With Intermittent Random Disturbance I. Background and Research Motivation In recent years, neural networks have been widely applied in various fields such as data classification, image recognition, and combinatorial optimization problems. Regarding th...

Adaptive Sampling Artificial-Actual Control for Non-Zero-Sum Games of Constrained Systems

Adaptive Sampling Artificial-Actual Control for Non-Zero-Sum Games of Constrained Systems Background In modern industrial and scientific research fields, the rapid development of intelligent technology and control systems makes traditional control methods difficult to meet the strict requirements of ensuring system stability and minimizing energy c...

An Electroencephalogram Microdisplay to Visualize Neuronal Activity on the Brain Surface

An Electroencephalogram Microdisplay to Visualize Neuronal Activity on the Brain Surface

A Visualization Microdisplay for Neuronal Activity on the Brain Surface Using Electroencephalography Background Introduction Current functional mapping in neurosurgery primarily relies on verbal communication between neurosurgeons and electrophysiologists. These processes are time-consuming and have limited resolution. Additionally, the electrode g...

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

Autonomous Navigation and Walking Wheel-Leg Robot Background Introduction The acceleration of urbanization has posed significant challenges for supply chain logistics, especially for last-mile delivery. As traffic pressure increases and the demand for faster delivery services rises, particularly with complex routes indoors and on city streets, trad...

Learning Spatio-Temporal Dynamics on Mobility Networks for Adaptation to Open-World Events

Adapting to Open-World Events via Learning Spatio-Temporal Dynamics on Mobility Networks Research Background In modern society, the Mobility-as-a-Service (MaaS) system is seamlessly integrated by various transportation modes (such as public transport, ride-sharing, and shared bicycles). To achieve efficient MaaS operation, modeling the spatio-tempo...