[HTML][HTML] Machine learning inverse problem for topological photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - Communications Physics, 2018 - nature.com
Topology opens many new horizons for photonics, from integrated optics to lasers. The
complexity of large-scale devices asks for an effective solution of the inverse problem: how …

Machine learning inverse problem for topological photonics

L Pilozzi, FA Farrelly, M Giulia… - Communications …, 2018 - search.proquest.com
Topology opens many new horizons for photonics, from integrated optics to lasers. The
complexity of large-scale devices asks for an effective solution of the inverse problem: how …

Machine learning inverse problem for topological photonics.

L Pilozzi, G Marcucci, F Farrelly… - APS March Meeting …, 2018 - ui.adsabs.harvard.edu
The rapidly growing interest in the field of topological photonics is leading to the study of
more and more complex structures to explore the properties of topological insulators. This …

[PDF][PDF] Machine learning inverse problem for topological photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - core.ac.uk
Results We consider one of the simplest structures that support nontrivial topological
properties. In 1D systems, synthetic magnetic fields occur by lattice modulation 25 of the …

Machine Learning Inverse Problem for Topological Photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - 2018 - preprints.opticaopen.org
Topological concepts open many new horizons for photonic devices, from integrated optics
to lasers. The complexity of large scale topological devices asks for an effective solution of …

Machine Learning Inverse Problem for Topological Photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - arXiv preprint arXiv …, 2018 - arxiv.org
Topological concepts open many new horizons for photonic devices, from integrated optics
to lasers. The complexity of large scale topological devices asks for an effective solution of …

[PDF][PDF] Machine learning inverse problem for topological photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - scholar.archive.org
Results We consider one of the simplest structures that support nontrivial topological
properties. In 1D systems, synthetic magnetic fields occur by lattice modulation 25 of the …

[引用][C] Machine learning inverse problem for topological photonics.

L Pilozzi, G Marcucci, F Farrelly, C Conti - Bulletin of the American Physical …, 2018 - APS
APS -APS March Meeting 2018 - Event - Machine learning inverse problem for topological
photonics. American Physical Society American Physical Society Sites|APS|Journals|Physics …

Machine learning inverse problem for topological photonics.

L Pilozzi, FA Farrelly, G Marcucci… - Communications …, 2018 - search.ebscohost.com
Topology opens many new horizons for photonics, from integrated optics to lasers. The
complexity of large-scale devices asks for an effective solution of the inverse problem: how …

Machine learning inverse problem for topological photonics

L Pilozzi, FA Farrelly, G Marcucci, C Conti - Communications Physics, 2018 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Topology opens many new horizons for
photonics, from integrated optics to lasers. The complexity of large-scale devices asks for an …