This work aims to propose and design a class of networks coupled linear nonlinear oscillators, in which short bursts exogenous excitation result sustained endogenous network activity that returns quiescent state only after characteristic time along different path than when originally excited. The desired hysteretic behavior is obtained through the coupling self-excited oscillations with purpose...

Abstract In this paper, we propose a deep learning approach for forward modeling and inverse design of photonic devices containing embedded active metasurface structures. particular, demonstrate that combining neural network metasurfaces with scattering matrix-based optimization significantly simplifies the computational overhead while facilitating accurate objective-driven design. As an exampl...

wireless sensor networks(wsn) have unique properties that distinguished them from other wireless networks and have special challenges. not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a part of data maybe lost. because of the importance of covers in wireless sensors, in this work ...