Coupling Effect

Coupling effects, broadly defined, explore the interdependent relationships between different systems or components, aiming to understand and model their combined behavior. Current research focuses on diverse applications, from optimizing energy systems by integrating electric vehicles and renewable sources to improving machine learning models through coupled feature representations and advanced algorithms like normalizing flows and variational Bayes methods. These investigations are significant because they reveal emergent properties and enhance the accuracy and efficiency of various technologies, impacting fields ranging from renewable energy and autonomous driving to bioinformatics and space weather prediction.