|
Course unit
NANOPHOTONICS
INP8084217, A.A. 2019/20
Information concerning the students who enrolled in A.Y. 2019/20
Mutuated
Course unit code |
Course unit name |
Teacher in charge |
Degree course code |
INP8084217 |
NANOPHOTONICS |
MARCO SANTAGIUSTINA |
IN2371 |
ECTS: details
Type |
Scientific-Disciplinary Sector |
Credits allocated |
Core courses |
ING-INF/02 |
Electromagnetic Fields |
6.0 |
Course unit organization
Period |
First semester |
Year |
1st Year |
Teaching method |
frontal |
Type of hours |
Credits |
Teaching hours |
Hours of Individual study |
Shifts |
Lecture |
6.0 |
48 |
102.0 |
No turn |
Examination board
Board |
From |
To |
Members of the board |
1 A.A. 2019/2020 |
01/10/2019 |
15/03/2021 |
SANTAGIUSTINA
MARCO
(Presidente)
PALMIERI
LUCA
(Membro Effettivo)
CAPOBIANCO
ANTONIO DANIELE
(Supplente)
CARLETTI
LUCA
(Supplente)
DE CEGLIA
DOMENICO
(Supplente)
GALTAROSSA
ANDREA
(Supplente)
|
Prerequisites:
|
The students are expected to have an undergraduate level of knowledge of electromagnetics and mathematical analysis |
Target skills and knowledge:
|
The course is expected to provide the following knowledge and skills:
1. To understand fundamental aspects of light interactions with nanoscale engineered materials.
2. To gain knowledge of the latest developments in emerging areas of nanophotonics (nanotechnologies and nanofabrication techniques, computational nanophotonics, plasmonics, metamaterials e metasurfaces, nanoantennas, photonic crystals).
3. To develop the ability to perform numerical simuations of light propagation effects in nano-structured materials
4. To know the potential applications of nanophotonics
5. To learn hot to solve electromagnetic problems in complex nanophotonic structures, by using:(i) appropriate approximations (e.g., quasi-static); (ii) analytical approaches; (iii) full-wave simulations. |
Examination methods:
|
The score is based on:
1. Written exam
2. Preparation of a report on the lab activities (MATLAB/CST)
3. (Optional) Homework
4. (Optional) Study of scientific paper on nanophotonics (to be agreed with the instructor) followed by a short oral presentation |
Assessment criteria:
|
1. Assessment of the level of knowledge of fundamental aspects of nanophotonic theory and applications
2. Assessment of the ability to simplify and solve complex e.m. problems involving nano-structured materials |
Course unit contents:
|
Electrodynamics for nanophotonics: Maxwell's equations; Microscopic dynamical models; Constitutive relations; Wave equation and plane waves; Polarization; Poynting's theorem; Fresnel coefficients; Optical waveguides; Transfer-matrix method; Quasi-static approximation; Circuit models for nanophotonics
- Nanostructured materials: Effective-medium theories; Maxwell-Garnett approximation; Bruggeman theory; Numerical techniques (Nicolson-Ross-Weir)
- Plasmonics: Drude model and metal optics; Surface-plasmon polaritons; Plasmonic nanoparticles; nanoantennas
- Nanophotonic devices: Photonic-crystal devices; defective photonic crystals and resonant gratings; Plasmonic sensors; Metasurfaces and metamaterials
- Optical fiber sensors: Review of sensor parameters; Fiber Bragg gratings; Multi-modal interference devices; Fabry-Pérot cavities; Gyroscopes; Faraday effect; Distributed optical fiber sensors; Rayleigh, Raman and Brillouin scattering. |
Planned learning activities and teaching methods:
|
- Lectures (blackboard and slides)
- Solution of application-oriented exercises in the numerical lab |
Additional notes about suggested reading:
|
Lecture notes and slides |
Textbooks (and optional supplementary readings) |
-
Haus, Joseph W., Fundamentals and applications of nanophotonics. Amsterdam: Elsevier, 2016.
-
Prasad, Paras N., Nanophotonics. Hoboken: John Wiley & Sons, Inc., 2004.
-
Gaponenko, S. V. (Sergej V.), Introduction to nanophotonicsSergey V. Gaponenko. Cambridge: Cambridge University Press, 2010.
|
Innovative teaching methods: Teaching and learning strategies
- Lecturing
- Laboratory
- Interactive lecturing
- Problem solving
- Loading of files and pages (web pages, Moodle, ...)
Innovative teaching methods: Software or applications used
- Moodle (files, quizzes, workshops, ...)
- Matlab
Sustainable Development Goals (SDGs)
|
|