Abstract: Synchronous machines are fundamental components. Accurate modelling of nonlinear magnetic saturation characteristics is essential. Traditional models often rely on computationally intensive ...

Abstract: This article explores the modeling of inter-turn short circuits (ITSCs) in segmented permanent magnet synchronous machines, with a focus on highly coupled segmentation (HCS) and multisector ...

Although CERN’s Large Hadron Collider has made a lasting impact on particle physics, it hasn’t yet open up a whole new frontier of particle physics like some scientists expected. One scientist ...

You will be redirected to our submission process. Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many data-scarce regions.

You will be redirected to our submission process. The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...