Electrostatically induced interconnect structures in graphene are an alluring alternative for nanoribbons to be used in future integrated circuits (ICs) because of the avoidance of edge scattering. In this contribution, these structures are analyzed using a novel first-principles modeling approach, based on higher-order conservative partitioned Runge-Kutta time stepping for the (2+1)D Dirac equation. The validity and applicability of the modeling tool are demonstrated by applying it to a bent interconnect and to a coupler.
Spectral Bayesian Optimization Using a Physics-Informed Rational Szegö Kernel for Microwave Design
Microwave device design increasingly relies on surrogate modeling to accelerate optimization and reduce costly electromagnetic (EM) simulations. This paper presents a spectral Bayesian optimization (SBO)