Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloTopological nanophotonics and artificial neural networks
Anno di pubblicazione2021
FormatoElettronico
Autore/iPilozzi L.; Farrelly F.A.; Marcucci G.; Conti C.
Affiliazioni autoriInstitute for Complex Systems, National Research Council (ISC-CNR), Via dei Taurini 19, Rome, 00185, 1 Institute for Complex Systems, National Research Council (ISC-CNR), Via dei Taurini 19, 00185 Rome, Italy; Institute for Complex Systems, National Research Council (ISC-CNR), Via dei Taurini 19, Rome, 00185, 1 Institute for Complex Systems, National Research Council (ISC-CNR), Via dei Taurini 19, 00185 Rome, Italy; Department of Physics, University Sapienza, Piazzale Aldo Moro 5, Rome, 00185, 2 Department of Physics, University Sapienza, Piazzale Aldo Moro 5, 00185 Rome, Italy
Autori CNR e affiliazioni
  • GIULIA MARCUCCI
  • LAURA PILOZZI
  • FRANCIS ALLEN FARRELLY
  • CLAUDIO CONTI
Lingua/e
  • inglese
AbstractWe propose the use of artificial neural networks to design and characterize photonic topological insulators. As a hallmark, the band structures of these systems show the key feature of the emergence of edge states, with energies lying within the energy gap of the bulk materials and localized at the boundary between regions of distinct topological invariants. We consider different structures such as one-dimensional photonic crystals, PI-symmetric chains and cylindrical systems and show how, through a machine learning application, one can identify the parameters of a complex topological insulator to obtain protected edge states at target frequencies. We show how artificial neural networks can be used to solve the long-standing quest for a solution to inverse problems solution and apply this to the cutting edge topic of topological nanophotonics.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali6
RivistaNanotechnology (Bristol, Online)
Attiva dal 1996
Editore: IOP Publishing. - Bristol
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1361-6528
Titolo chiave: Nanotechnology (Bristol, Online)
Titolo abbreviato: Nanotechnology (Bristol, Online)
Numero volume della rivista32
Fascicolo della rivista14
DOI10.1088/1361-6528/abd508
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85100288498)
  • ISI Web of Science (WOS) (Codice:000607308600001)
Parole chiavetopological photonics; machine learning; artificial neural networks
Link (URL, URI)https://iopscience.iop.org/article/10.1088/1361-6528/abd508
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione18/12/2020
Note/Altre informazioni-
Strutture CNR
  • ISC — Istituto dei sistemi complessi
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Topological nanophotonics and artificial neural networks (documento privato )
Descrizione: published version
Tipo documento: application/pdf