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
PY - 2020/5
Y1 - 2020/5
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=85091653455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091653455&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85091653455
T3 - Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
BT - 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Conference on Lasers and Electro-Optics, CLEO 2020
Y2 - 10 May 2020 through 15 May 2020
ER -