Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories

Physics, Electromagnetism, Optics, Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
hyperspectral   optical frequency combs   in-memory computing   optical computing   matrix multiplication  

Hyperspectral In-Memory Computing and Applications of Optical Frequency Comb and Programmable Optical Memory Introduction In recent years, breakthroughs in machine learning have driven revolutionary developments in various industries, including healthcare, finance, retail, automotive, and manufacturing. These transformations have led to a surge in ...

Electrically Engineering Synthetic Magnetic Fields for Polarized Photons

Physics, Electromagnetism, Optics, Quantum Physics,
synthetic magnetic fields   polarized photons   Lorentz force   Stern–Gerlach effect   topological splitting  

Research Report: Electrically Controlled Engineering of Synthetic Magnetic Fields in Polarized Photons Academic Background and Research Purpose In recent years, synthetic gauge theory has shown its potential in controlling the propagation of light and its state evolution in non-magnetic photonic systems. However, the synthetic magnetic fields gener...

Thresholds and Mechanisms of Human Magnetophosphene Perception Induced by Low Frequency Sinusoidal Magnetic Fields

Physics, Electromagnetism, Optics, Engineering, Electrical Engineering, Medicine, Neurology, Ophthalmology, Life Sciences, Biophysics,
extremely low-frequency magnetic fields   power-line frequency magnetic fields   magnetophosphenes   human   electroencephalography  

Threshold and Mechanisms of Magnetophosphene Perception Background The effect of Magnetic Fields (MF) on the human body has long been a hot topic in scientific research. Extremely Low-Frequency Magnetic Fields (ELF-MF) are widespread in daily life, primarily originating from power lines (50⁄60 Hz) and household appliances. These magnetic fields can...

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

Physics, Electromagnetism, Thermodynamics, Chemistry, Energy Chemistry, Materials Chemistry, Engineering, Energy Engineering,
fuel cells   intermetallic nanocrystals   metal bond strength   low-temperature synthesis   optimized electrocatalysts  

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...

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...

A Magnetic Particle Imaging Approach for Minimally Invasive Imaging and Sensing with Implantable Bioelectronic Circuits

Physics, Electromagnetism, Medicine, Medical Imaging, Life Sciences, Bioengineering, Biophysics,
magnetic particle imaging   implantable device   wireless   bioelectronic circuits   reconstruction  

Minimally Invasive Imaging and Sensing Methods Based on Magnetic Particle Imaging and the Application of Implanted Electronic Circuits Academic Background In modern medicine, minimally invasive and biocompatible implantable bioelectronics are widely used for long-term monitoring of physiological processes inside the body. However, methods for imagi...