Dynamic Multistability Effect in SQUID Metamaterials
QCN researchers have investigated numerically a two-dimensional SQUID metamaterial with and without quenched disorder and they have predicted multistability, which is a purely dynamic effect not related to the multistability known from hysteretic SQUIDs. These results show that SQUIDs can be used as fast, intrinsically switchable meta-atoms, for the construction of metamaterials with many potential applications, such as, for example, all-optical metamaterial switch.
G. D. Barmparis and G. P. Tsironis, use physics-informed machine learning (PIML) techniques to find the parameters for the efficient transfer of an electron (or photon) to a targeted state in a nonlinear dimer.
E. Angelaki, M. E. Marketou, G. D. Barmparis, A. Patrianakos, P. E. Vardas, F. Parthenakis, and G. P. Tsironis apply Machine Learning techniques to basic clinical parameters and electrocardiographic features in order to detect abnormal left ventricular geometry even before the onset of left ventricular hypertrophy, in a population without established CVD.