Engineering 2D Material Exciton Line Shape with Graphene/h-BN Encapsulation
Mapping the Antiparallel Aligned Stripe Domain Rotation by Microwave Exci...
Design and Simulation of Silicon-Based Tunable External Cavity Diode Lase...
 US2Mask: Image-to-mask generation learning via a conditional GAN for ca...
High-Performance All-Dielectric Metasurface for Quadruple Fano Resonance-...
Polarization Characteristics of Vertical Cavity Surface Emitting Laser wi...
Comparative Transcriptome Analysis Reveals the Light Spectra Affect the G...
Gate-compatible circuit quantum electrodynamics in a three-dimensional ca...
Monolithic integration of deep ultraviolet and visible light-emitting dio...
Enhanced linear polarization of GaN-based Micro-LED via rational chip sid...
官方微信
友情链接

Artificial neural networks applied in fast-designing forces in silicon subwavelength grating waveguides

2024-05-08


Dong, Tianpei; Wang, Jinzhi; Wang, Chenxi; Han, Zhe; Yuan, Liuyuan; Tian, Huiping Source: CLEO: Fundamental Science, CLEO:FS 2023, 2023, CLEO: Fundamental Science, CLEO:FS 2023;

Abstract:

We propose a subwavelength grating waveguide designed by artificial neural networks and predict the optical force generated when the Bloch mode propagates along it for trapping 50 nm nanoparticles.

© Optica Publishing Group 2023. (4 refs.)




关于我们
下载视频观看
联系方式
通信地址

北京市海淀区清华东路甲35号(林大北路中段) 北京912信箱 (100083)

电话

010-82304210/010-82305052(传真)

E-mail

semi@semi.ac.cn

交通地图
版权所有 中国科学院半导体研究所

备案号:京ICP备05085259-1号 京公网安备110402500052 中国科学院半导体所声明