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.

Support Vector Machine (SVM) is one of the most widely used algorithms for solving classification and regression problems. SVM parameters such as the kernel and the penalty (C) parameters greatly ...