A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.

Transfer learning (TL) is a powerful approach that enhances the generalizability of cross-domain fault diagnosis. However, the challenge of acquiring high-quality mechanical fault signals limits its ...

To solve the spectra distribution problem, we propose using self-learning, a domain adaptation (DA) method to self-adapt to the domain shift. It involves an iterative process of predicting on the ...