Model order reduction is a pivotal methodology in the analysis and control of dynamic systems, wherein high-order models are simplified into reduced order models (ROMs) that capture the fundamental ...
Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
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