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...

Salient Object Detection in Low-Light RGB-T Scenarios by Mining Spatial-Frequency Cues Salient Object Detection (SOD) holds a significant position in the field of computer vision. Its main task is to identify the most visually attractive regions or objects in an image. Although SOD models have made certain progress in normal lighting environments o...

Heterogeneous Coexisting Attractors, Large-Scale Amplitude Control and Finite-Time Synchronization of Central Cyclic Memristive Neural Networks Academic Background Due to their memory and nonlinearity characteristics similar to brain synapses, memristors hold significant theoretical and practical importance in the study of chaotic dynamics in brain...

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...

Fully Neuromorphic Visual and Control Autonomous Aerial Vehicle Background and Research Motivation Over the past decade, deep artificial neural networks (ANNs) have made significant advancements in the field of artificial intelligence, particularly in visual processing. However, these advanced visual processing technologies, despite achieving high ...

Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space This research article was published on May 15, 2024, in the journal Science Robotics, titled “Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space.” The first author is Byungjoon Bae, and the corresponding author ...

Ultra-wide Field-of-view Pinhole Compound Eye Based on Hemispherical Nanowire Array for Robotic Vision In the rapid development of contemporary artificial intelligence and robotics technology, the visual system, as a crucial component, has attracted widespread attention and in-depth research. According to a research paper published by Zhou et al. o...