Memristors with Analogue Switching and High On/Off Ratios Using a Van der Waals Metallic Cathode

Physics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
memristor   van der Waals metal   analogue switching   high on/off ratio   neuromorphic computing   silver ion intercalation   low power consumption  

Research on Analog Memristors with Large On/Off Ratios Using 2D Van der Waals Metallic Cathodes Academic Background With the rapid development of artificial intelligence (AI) applications, traditional Von Neumann architectures are facing performance bottlenecks in data-intensive computing tasks. Neuromorphic computing is an emerging paradigm capabl...

Sliding Mode Control for Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks with Time Delays

Physics, Electromagnetism, Information Science, Artificial Intelligence,
sliding mode control   fractional-order   time delays   reaction-diffusion   memristor   neural networks  

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...

Dynamics of Heterogeneous Hopfield Neural Network with Adaptive Activation Function Based on Memristor

Physics, Electromagnetism, Information Science, Artificial Intelligence,
memristor   adaptive activation function   Hopfield neural network   multi-scroll attractors   chaotic phenomena  

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...

Heterogeneous Coexisting Attractors, Large-scale Amplitude Control, and Finite-time Synchronization of Central Cyclic Memristive Neural Networks

Physics, Electromagnetism, Information Science, Artificial Intelligence,
chaos   memristor   memristive neural networks   heterogeneous coexisting attractors   large-scale amplitude control   finite-time synchronization  

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...