S
Scott Skirlo
Researcher at Massachusetts Institute of Technology
Publications - 26
Citations - 3049
Scott Skirlo is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Artificial neural network & Photonic crystal. The author has an hindex of 13, co-authored 26 publications receiving 1968 citations.
Papers
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Journal ArticleDOI
Spectrally and Spatially Resolved Smith-Purcell Radiation in Plasmonic Crystals with Short-Range Disorder
Ido Kaminer,Steven E. Kooi,Roy Shiloh,Bo Zhen,Bo Zhen,Yichen Shen,Josue J. Lopez,Roei Remez,Scott Skirlo,Yi Yang,J. D. Joannopoulos,Ady Arie,Marin Soljacic +12 more
TL;DR: In this paper, an experimental setup based on a modified scanning electron microscope is used to explore fundamental aspects of the coupling of free electrons to plasmonic crystals and localized PLASmonic resonances.
Posted Content
On-Chip Optical Convolutional Neural Networks.
TL;DR: A photonics circuit architecture which could consume a fraction of energy per inference compared with state of the art electronics is proposed.
Journal ArticleDOI
Quantum \v{C}erenkov Radiation: Spectral Cutoffs and the Role of Spin and Orbital Angular Momentum
Ido Kaminer,Maor Mutzafi,Amir Levy,Gal Harari,Hanan Herzig Sheinfux,Scott Skirlo,Jonathan Nemirovsky,John D. Joannopoulos,Mordechai Segev,Marin Soljacic +9 more
TL;DR: In this article, it was shown that the Cerenkov transition amplitudes allow coupling between the charged particle and the emitted photon through their orbital angular momentum (OAM) and spin, by scattering into preferred angles and polarizations.
Patent
Apparatus and methods for optical neural network
Jacques Carolan,Mihika Prabhu,Scott Skirlo,Yichen Shen,Marin Soljacic,Nicholas C. Harris,Dirk Englund +6 more
TL;DR: In this article, an optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing, where matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals.
Proceedings ArticleDOI
Planar-lens Enabled Beam Steering for Chip-scale LIDAR
Josue J. Lopez,Scott Skirlo,Dave Kharas,Jamison Sloan,Jeffrey S. Herd,Paul W. Juodawlkis,Marin Soljacic,Cheryl Sorace-Agaskar +7 more
TL;DR: In this article, a lens-enabled chip-scale beam steering device for LIDAR is theoretically analyzed and experimentally demonstrated with azimuthal, ϕ range = 38.8°, and polar, θ range = 12.0°, beam-steering.