Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

The rapid rise in AI applications has placed increasingly heavy demands on our energy infrastructure. All the more reason to ...

A groundbreaking step in AI hardware efficiency comes from Germany, where scientists have engineered a vast spin waveguide network that processes information with far less energy. These spin waves ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Eccentricity is a critical fault in permanent magnet synchronous machines (PMSMs), and can be generally classified into static eccentricity (SE), dynamic eccentricity (DE) and mixed eccentricity (ME).

One of the most common needs in manufacturing plants is rejecting products not coincident with the standards as anomalies. Accurate and automatic anomaly detection improves product reliability and ...

The nuclear magnetic resonance (NMR) chemical shift tensor is a highly sensitive probe of the electronic structure of an atom and furthermore its local structure. Recently, machine learning has been ...