Electron-Nucleus Dynamics Study of Photocatalytic Water Splitting on Rutile Titanium Dioxide Surface Background and Motivation Photocatalytic water splitting is one of the important applications of photocatalytic technology, while titanium dioxide (TiO₂) is a photocatalytic material with significant application potential. Although TiO₂ performs rem...

Study on Electric-field-induced Multiferroic Topological Solitons in BiFeO3 Thin Films Academic Background Topologically protected magnetic structures in magnetic materials are predicted to be powerful tools for topological information technology. However, future magnetic soliton technology may rely more on antiferromagnetic materials due to their ...

Study Report on the Formation of Exciton Polarons and High Carrier Relaxation in Rigid Dion–Jacobson Type Two-Dimensional Perovskite Two-dimensional organic-inorganic hybrid perovskites (HOIPs) have garnered widespread attention due to their strongly confined exciton states and reduced dielectric screening effects resulting from their two-dimension...

Optimal Working Point of Heavy Hole Spin Qubit in Germanium and Its High Anisotropic Noise Sensitivity Background and Motivation The development of quantum computers holds great promise for solving complex problems. However, building a fault-tolerant quantum computer requires the integration of a large number of highly coherent qubits. Spin qubits,...

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...

Research Progress on Programmable Topological Photonic Chips Research Background In recent years, topological insulators (TI) have garnered significant attention in the physics community due to their rich physical mechanisms and the potential applications of topological boundary modes, leading to rapid development in this field. Since the discovery...

Study on Chirality Transfer in Liquid Crystal Viruses Chirality is a phenomenon commonly found in nature and holds significant influence in various fields such as biology, chemistry, physics, and materials science. However, the mechanism of chirality transfer from nanoscale building blocks to macroscopic helical structures remains an unsolved myste...

Application of Sliding Mode Control in Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks In recent years, as neural networks have been widely applied in various fields, the research on their control and stability has gained increasing attention. Fractional-order (FO) memristor neural networks (MNNs), due to their ability to si...

Background and Motivation Understanding fluid motion is crucial for comprehension of our environment and our interactions with it in the field of physics. However, traditional fluid simulation methods face limitations in practical applications due to high computational demands. In recent years, physics-driven neural networks have emerged as a promi...

Study of Heterogeneous Hopfield Neural Networks: Dynamic Behavior Analysis Combining Adaptive Activation Functions and Memristors This study investigates the impact of nonlinear factors on the dynamic behavior of neural networks. Specifically, activation functions and memristors are commonly used as nonlinear factors to construct chaotic systems an...