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...