Maxwell's equations
PulseAugur coverage of Maxwell's equations — every cluster mentioning Maxwell's equations across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
New theory reinterprets electrodynamics using vacuum memory and hysteresis
A new theoretical framework proposes a radical reinterpretation of fundamental laws in electrostatics and electrodynamics, drawing inspiration from the Preisach-Mirek model and the principle of vacuum memory. This model…
-
RFIC Design Integrates Physics, Electronics, and AI
This item discusses the intricate design process of Radio Frequency Integrated Circuits (RFICs), highlighting the necessity of integrating knowledge from multiple engineering disciplines. It explains how Maxwell's equat…
-
New NOTES method enhances inverse design for physical systems
Researchers have developed a new method called Neural Operator-enabled Topology-informed Evolutionary Strategy (NOTES) to improve the inverse design of physical systems governed by partial differential equations. This a…
-
AI model reconstructs 3D magnetic fields with high precision
Researchers have developed a novel Physics-Informed Neural Network (PINN) to reconstruct and map 3D magnetic fields in areas where direct measurement is difficult. This AI framework integrates Maxwell's equations into i…
-
Hybrid physics-informed neural networks advance electricity system design
A new review paper explores the use of hybrid physics-informed neural networks (PIML) for enhancing electricity systems. These methods embed physical laws into machine learning models, improving accuracy and efficiency,…
-
FLASH-MAX neural net reconstructs Maxwell's equations from sparse data
Researchers have developed FLASH-MAX, a novel neural network architecture designed for the rapid and precise reconstruction of electromagnetic fields from limited data. This architecture embeds Maxwell's equations direc…