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Research project

Complex nanophotonic and plasmonic networks for ultrafast optical devices

  • Research funder:
    EPSRC
  • Status:
    Not active

Research outputs

Deep learning enabled strategies for modeling of complex aperiodic plasmonic metasurfaces of arbitrary size
2022, ACS Photonics, 9(2), 575-585
DOI: 10.1021/acsphotonics.1c01556
Type: article
Nonvolatile programmable silicon photonics using an ultralow-loss Sb2Se3 phase change material
Matthew Delaney, Ioannis Zeimpekis, Han Du, Xingzhao Yan, Mehdi Banakar, David J. Thomson, Daniel W. Hewak & Otto L. Muskens, 2021, Science Advances, 7(25)
DOI: 10.1126/sciadv.abg3500
Type: article
Deep learning enabled design of complex transmission matrices for universal optical components
Nicholas J. Dinsdale, Peter R. Wiecha, Matthew Delaney, Jamie Reynolds, Martin Ebert, Ioannis Zeimpekis, David J. Thomson, Graham T. Reed, Philippe Lalanne, Kevin Vynck & Otto L. Muskens, 2021, ACS Photonics, 8(1), 283-295
DOI: 10.1021/acsphotonics.0c01481
Type: article
A new family of ultralow loss reversible phase‐change materials for photonic integrated circuits: Sb2S3 and Sb2Se3
Matthew Delaney, Ioannis Zeimpekis, Daniel Lawson, Daniel W. Hewak & Otto L. Muskens, 2020, Advanced Functional Materials, 30(36)
DOI: 10.1002/adfm.202002447
Type: article
Imaging through highly scattering environments using ballistic and quasi-ballistic light in a common-path Sagnac interferometer
Jesse Dykes, Zeina Nazer, Allard P. Mosk & Otto L. Muskens, 2020, Optics Express, 28(7), 10386-10399
DOI: 10.1364/OE.387503
Type: article