TY - GEN
T1 - Optimization of multilayer optical films with unsupervised learning, reinforcement learning and genetic algorithm
AU - Anqing, Jiang
AU - Yoshie, Osamu
N1 - Publisher Copyright:
© OSA 2020 © 2020 The Author(s)
PY - 2020/9/14
Y1 - 2020/9/14
N2 - We proposed an optical film optimal algorithm using at hree-step machine learning algorithm. which applies to design layered thin-film materials. As a verification, the absorption of the designed solar selective absorption film is 91%.
AB - We proposed an optical film optimal algorithm using at hree-step machine learning algorithm. which applies to design layered thin-film materials. As a verification, the absorption of the designed solar selective absorption film is 91%.
UR - http://www.scopus.com/inward/record.url?scp=85106010278&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85106010278&partnerID=8YFLogxK
U2 - 10.1364/FIO.2020.JM6A.5
DO - 10.1364/FIO.2020.JM6A.5
M3 - Conference contribution
AN - SCOPUS:85106010278
T3 - Optics InfoBase Conference Papers
BT - Frontiers in Optics - Proceedings Frontiers in Optics / Laser Science, Part of Frontiers in Optics + Laser Science APS/DLS, FiO 2020
PB - Optica Publishing Group (formerly OSA)
T2 - 2020 Frontiers in Optics Conference, FiO 2020
Y2 - 14 September 2020 through 17 September 2020
ER -