scholarly journals Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices

ACS Photonics ◽  
2018 ◽  
Vol 5 (12) ◽  
pp. 4781-4787 ◽  
Author(s):  
Tyler W. Hughes ◽  
Momchil Minkov ◽  
Ian A. D. Williamson ◽  
Shanhui Fan
Keyword(s):  
Adjoint Method ◽  
Inverse Design ◽  
Nanophotonic Devices

Inverse design of digital nanophotonic devices using the adjoint method

2020 ◽  
Vol 8 (4) ◽  
pp. 528 ◽  
Author(s):  
Kaiyuan Wang ◽  
Xinshu Ren ◽  
Weijie Chang ◽  
Longhui Lu ◽  
Deming Liu ◽  
...  
Keyword(s):  
Adjoint Method ◽  
Inverse Design ◽  
Nanophotonic Devices

scholarly journals Correction to “Adjoint Method and Inverse Design for Nonlinear Nanophotonic Devices”

ACS Photonics ◽  
2021 ◽  
Author(s):  
Tyler W. Hughes ◽  
Momchil Minkov ◽  
Ian A. D. Williamson ◽  
Shanhui Fan
Keyword(s):  
Adjoint Method ◽  
Inverse Design ◽  
Nanophotonic Devices

Deep Neural Networks for Inverse Design of Nanophotonic Devices

2021 ◽  
pp. 1-1
Author(s):  
Keisuke Kojima ◽  
Mohammad H. Tahersima ◽  
Toshiaki Koike-Akino ◽  
Devesh K. Jha ◽  
Yingheng Tang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Inverse Design ◽  
Nanophotonic Devices

scholarly journals Digital nanophotonics: the highway to the integration of subwavelength-scale photonics

Nanophotonics ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Jie Huang ◽  
Hansi Ma ◽  
Dingbo Chen ◽  
Huan Yuan ◽  
Jinping Zhang ◽  
...  
Keyword(s):  
Rapid Development ◽  
Search Space ◽  
Inverse Design ◽  
Analytical Models ◽  
Nanophotonic Devices ◽  
Single Function ◽  
Intelligence Operations ◽  
Complex Functions ◽  
Parameter Search Space ◽  
Design Algorithms

AbstractNanophotonic devices with high densities are extremely attractive because they can potentially merge photonics and electronics at the nanoscale. However, traditional integrated photonic circuits are designed primarily by manually selecting parameters or employing semi-analytical models. Limited by the small parameter search space, the designed nanophotonic devices generally have a single function, and the footprints reach hundreds of microns. Recently, novel ultra-compact nanophotonic devices with digital structures were proposed. By applying inverse design algorithms, which can search the full parameter space, the proposed devices show extremely compact footprints of a few microns. The results from many groups imply that digital nanophotonics can achieve not only ultra-compact single-function devices but also miniaturized multi-function devices and complex functions such as artificial intelligence operations at the nanoscale. Furthermore, to balance the performance and fabrication tolerances of such devices, researchers have developed various solutions, such as adding regularization constraints to digital structures. We believe that with the rapid development of inverse design algorithms and continuous improvements to the nanofabrication process, digital nanophotonics will play a key role in promoting the performance of nanophotonic integration. In this review, we uncover the exciting developments and challenges in this field, analyse and explore potential solutions to these challenges and provide comments on future directions in this field.

Inverse design of next-generation nanophotonic devices

2018 ◽  
Author(s):  
Mediha Tutgun ◽  
Yusuf Abdulaziz Yilmaz ◽  
Aydan Yeltik ◽  
Done Yilmaz ◽  
Ahmet Mesut Alpkilic ◽  
...  
Keyword(s):  
Inverse Design ◽  
Next Generation ◽  
Nanophotonic Devices

Inverse design of optical film filter for solar simulator by a recurrent neural adjoint method

2021 ◽  
Author(s):  
Dasen Zhang ◽  
Qinwen Bao ◽  
Wenqing Chen ◽  
Zhenzhen Liu ◽  
Guochao Wei ◽  
...  
Keyword(s):  
Adjoint Method ◽  
Inverse Design ◽  
Solar Simulator ◽  
Optical Film

Inverse Design of 3D Compressor Blades With Adjoint Method

2003 ◽  
Author(s):  
June Chung ◽  
Jeonghwan Shim ◽  
Ki D. Lee
Keyword(s):  
High Speed ◽  
Adjoint Method ◽  
Design Method ◽  
Computational Cost ◽  
Three Dimensional ◽  
Axial Compressor ◽  
Internal Flow ◽  
Adjoint System ◽  
Inverse Design ◽  
Compressor Blades

A three-dimensional (3D) CFD-based design method for high-speed axial compressor blades is being developed based on the discrete adjoint method. An adjoint code is built corresponding to RVC3D, a 3D turbomachinery Navier-Stokes analysis code developed at NASA Glenn. A validation study with the Euler equations indicates that the adjoint sensitivities are sensitive to the choice of boundary conditions for the adjoint variables in internal flow problems and constraints may be needed on internal boundaries to capture proper physics of the adjoint system. The design method is demonstrated with inverse design based on Euler physics, and the results indicate that the adjoint design method produces efficient 3D designs by drastically reducing the computational cost.

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