TY - GEN
T1 - Breaking the fabrication determined resolution limit of photonic crystal wavemeter by machine learning
AU - Hofs, Jocelyn
AU - Kodama, Takumasa
AU - Jin, Shengji
AU - Tanabe, Takasumi
N1 - Publisher Copyright:
© OSA 2020 © 2020 The Author(s)
PY - 2020
Y1 - 2020
N2 - By utilizing random localization patterns as training data for machine learning, we achieved a 0.2-nm wavelength resolution with a fabricated photonic crystal wavemeter, which greatly exceeds the limit imposed by the fabrication.
AB - By utilizing random localization patterns as training data for machine learning, we achieved a 0.2-nm wavelength resolution with a fabricated photonic crystal wavemeter, which greatly exceeds the limit imposed by the fabrication.
UR - http://www.scopus.com/inward/record.url?scp=85095412995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095412995&partnerID=8YFLogxK
U2 - 10.1364/CLEO_SI.2020.SF1J.4
DO - 10.1364/CLEO_SI.2020.SF1J.4
M3 - Conference contribution
AN - SCOPUS:85095412995
T3 - Optics InfoBase Conference Papers
BT - CLEO
PB - OSA - The Optical Society
T2 - CLEO: Science and Innovations, CLEO_SI 2020
Y2 - 10 May 2020 through 15 May 2020
ER -