Ricerc@Sapienza

An improved second order artificial material single layer (AMSL) method is proposed to predict the electromagnetic field in presence of conductive thin layers by the finite element method (FEM). The AMSL method is based on the replacement of the material physical constants of a conductive shield region with those of an artificial material. The new AMSL physical constants are analytically extracted by equating the equivalent transmission line (TL) equations governing the field propagation inside the shield with the FEM solution.

This paper deals with the extension of the artificial material single-layer (AMSL) method, recently developed to model electromagnetically a thin conductive material using the finite-element method (FEM), to the more general case of transversally anisotropic shields. The analogy between the field equations and the multiconductor transmission line (MTL) equations is here used to calculate the admittance matrix of a thin anisotropic material. This admittance matrix is then imposed to be that of an equivalent circuit with lumped parameters.

A new artificial material single layer (AMSL) model is presented to solve shielding problem. The field penetration through the conductive shield is described by lossy transmission line equations. The resulting equations are used to numerically synthetize an equivalent material for the shield region having the same geometrical configuration of the original shield, but different specific constants.

This paper presents a selection of research topics related to nano-electromagnetic compatibility (nano-EMC) issues in emerging carbon nanoelectronics. Carbon-based nano-interconnect modeling and analysis are first introduced. Then, the key techniques of carbon nanotube-filled through-silicon vias and carbon- based passive devices are discussed.

In this work we developed novel stretchable sensors constituted by a percolating network of graphene nanoplatelets (GNPs) which has been deposited via spray coating over a polyester fabric and integrated in a biocompatible elastomer. The electromechanical response of the sensors is firstly investigated through quasi-static tensile tests. The measured resistance variation under the applied stress confirms the piezoresistive behavior of the fabricated sensors, having a maximum gauge factor of 90 at strain of 25%.

Graphene based polyvinylidene fluoride (PVDF)composite films have been produced and characterized in orderto investigate their piezo-resistive properties. To this purpose, anew production process has been developed, with the aim offabricating at low cost PVDF films filled with graphenenanoplatelets (GNPs). The produced films, having a GNPcontent of 1.5%wt and 2% wt, have been characterized frommorpholocial and chemical points of view. Moreover, theirpiezo-resistive properties have been investigated both in staticand cyclic conditions.

The energy policy approach is carrying out a long-time renewal process of the electric and in general energy framework. The energy spent in commercial, residential, and institutional buildings is a great amount (in EU is estimated about 40% of total energy consumption and about 90% in high-density urban areas) [1]. The general encouragement of the rational use of energy, also for residential users, introduced the new approach of the nearly zero-energy buildings (NZEBs) by the European energy performance of buildings directive (EPBD) [3].

This paper deals with the role of Hydrogen enriched Natural Gas (H2NG) in Hybrid Energy Systems for energy refurbishment purposes. In detail, three different plant layout options were investigated. A photovoltaics (PV) array and two-stage electric heat pump (EHP), a hybrid photovoltaic thermal solar collectors combined to gas heat pump (GHP) fuelled with H2NG, and a CHP fuelled with H2NG connected to a two-stage EHP were compared.

Network recovery after large-scale failures has tremendous cost implications. While numerous approaches have been proposed to restore critical services after large-scale failures, they mostly assume having full knowledge of failure location, which cannot be achieved in real failure scenarios. Making restoration decisions under uncertainty is often further complicated in a large-scale failure. This paper addresses progressive network recovery under the uncertain knowledge of damages. We formulate the problem as a mixed integer linear programming (MILP) and show that it is NP-Hard.

Software Defined Networking (SDN) provides a framework to dynamically adjust and re-program the data plane with the use of flow rules. The realization of highly adaptive SDNs with the ability to respond to changing demands or recover after a network failure in a short period of time, hinges on efficient updates of flow rules. We model the time to deploy a set of flow rules by the update time at the bottleneck switch, and formulate the problem of selecting paths to minimize the deployment time under feasibility constraints as a mixed integer linear program (MILP).