Scheda programma d'esame
COMPUTATIONAL NANOELECTRONICS AND METAMATERIALS
GIANLUCA FIORI
Academic year2022/23
CourseMATERIALS AND NANOTECHNOLOGY
Code734II
Credits6
PeriodSemester 1
LanguageEnglish

ModulesAreaTypeHoursTeacher(s)
COMPUTATIONAL NANOELECTRONICSING-INF/02LEZIONI24
GIANLUCA FIORI unimap
METAMATERIALSING-INF/01LEZIONI24
DANILO BRIZI unimap
FILIPPO COSTA unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge

The student who successfully completes the course will have the ability to understand electromagnetic phenomena related to the propagation of electromagnetic waves in periodic structures comprising dielectrics and metallic particles. 

Assessment criteria of knowledge

During the oral exam, the student must demonstrate a solid knowledge of the course material and discuss the reading matter thoughtfully and with propriety of expression.

Skills

Student will be able to understand the theoretical aspects of artificial electromagnetic materials.

Assessment criteria of skills

Oral exam.

Behaviors

Students will acquire a methodological approach to face the interactions of EM wave with complex materials.

Prerequisites

INTERACTION OF ELECTROMAGNETIC WAVES WITH COMPLEX MEDIA

https://esami.unipi.it/esami2/programma.php?c=43943&aa=2019&docente=&insegnamento=ELECTROMAGNETIC&sd=0

Teaching methods

Face to face lectures with slides provided by the teacher.

Syllabus

 

METAMATERIALS (3 CFU):

Mixtures: Mixing rules and computation of effective permittivity (Maxwell-Garnet formulation); Metamaterials: Wire media, Split Ring Resonators (SRR) and double negative materials (DNG); Gradient metasurfaces: Gradient 2D metasurfaces for desingning flat lenses and reflectarrays and focoused EM sources; CRLH media: composite Right Left Handed (CRLH) transmission lines for the design of metamaterials and Electromagnetic Bandgap Surfaces (EBG).

Electromagnetic elementary sources: electric dipoles and magnetic loops. Electromagnetic sensors. Magneto-static approximation: biot-savart. Mutual induction. Magnetic metasurfaces of finite size: unit-cell design, equivalent circuit description. Metasurfaces excited by a near-field source: effective magnetic permeability, border effects compensation and metasurface frequency response analytical control. Introduction to electromagnetic numerical solvers.

Updated: 21/12/2022 10:31