Invisibility cloaks from forward design to inverse design

Xu, Su; Wang, Yong; Zhang, Baile; Chen, HongSheng

doi:10.1007/s11432-013-5033-0

Cited by 22 publications

(9 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The suppression of light scattering by an object is a topic of broad interest. In recent years, progress has been made with both forward design methods, such as transformation optics [97][98][99][100][101] and scattering cancellation [102], and inverse design approaches [103]. Genetic algorithms are usually adopted for optimizing a multilayer particle or cylinder to achieve omnidirectional scattering reduction [104,105], while topology optimization is more practically associated with designing bidirectional cloaks or resonators that can be realized by a low-index material [106][107][108][109][110][111][112], although in theory it can work for any imaginable objective function [106,113].…”

Section: Nanophotonic Design Based On Optimization Techniquesmentioning

confidence: 99%

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

2019

View full text Add to dashboard Cite

Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep increasing, the design and optimization of nanophotonic devices become computationally expensive and time-inefficient. Advanced computational methods and artificial intelligence, especially its subfield of machine learning, have led to revolutionary development in many applications, such as web searches, computer vision, and speech/image recognition. The complex models and algorithms help to exploit the enormous parameter space in a highly efficient way. In this review, we summarize the recent advances on the emerging field where nanophotonics and machine learning blend. We provide an overview of different computational methods, with the focus on deep learning, for the nanophotonic inverse design. The implementation of deep neural networks with photonic platforms is also discussed.This review aims at sketching an illustration of the nanophotonic design with machine learning and giving a perspective on the future tasks.

show abstract

Section: Nanophotonic Design Based On Optimization Techniquesmentioning

confidence: 99%

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

2019

View full text Add to dashboard Cite

show abstract

“…That is why the another cloak design strategy began develop recently. It obtained the name of inverse design as it is related with solving inverse electromagnetic (acoustic or static) problems (see [33,34]). The optimization method forms the core of the inverse design methodology.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based method of solving 2D thermal cloaking problems

Алексеев

Терешко

2019

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Inverse problems associated with designing cylindrical thermal cloaking shells are studied.Using the optimization method these inverse problems are reduced to corresponding control problems in which the diagonal components of diagonal in polar coordinates tensor of thermal conductivities play the role of passive controls. A numerical algorithm based on the particle swarm optimization is proposed and the results of numerical experiments are discussed.Rigorous optimization analysis shows that high cloaking efficiency of the shell can be achieved either using a highly anisotropic single-layer shell or using a multilayer shell composed of only three isotropic natural materials with optimally selected thermal conductivities.

show abstract

“…The main one is the difficulty of their technical realization. For example, the design of the TO-based cloaks involves extreme values of constitutive parameters and spatially varying distributions of the permittivity and permeability tensors which are very difficult to implement [12]. That is why the another cloak design strategy began develop recently.…”

Section: Introductionmentioning

confidence: 99%

“…That is why the another cloak design strategy began develop recently. It obtained the name of inverse design as it is related with solving inverse electromagnetic (acoustic or static) problems (see [12,13]). The optimization method forms the core of the inverse design methodology.…”

Section: Introductionmentioning

confidence: 99%

Invisibility problem in acoustics, electromagnetism and heat transfer. Inverse design method

Алексеев

Tokhtina

Соболева

2017

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Abstract. Two approaches (direct design and inverse design methods) for solving problems of designing devices providing invisibility of material bodies of detection using different physical fields -electromagnetic, acoustic and static are discussed. The second method is applied for solving problems of designing cloaking devices for the 3D stationary thermal scattering model. Based on this method the design problems under study are reduced to respective control problems. The material parameters (radial and tangential heat conductivities) of the inhomogeneous anisotropic medium filling the thermal cloak and the density of auxiliary heat sources play the role of controls. A unique solvability of direct thermal scattering problem in the Sobolev space is proved and the new estimates of solutions are established. Using these results, the solvability of control problem is proved and the optimality system is derived. Based on analysis of optimality system, the stability estimates of optimal solutions are established and numerical algorithms for solving particular thermal cloaking problem are proposed.

show abstract

Invisibility cloaks from forward design to inverse design

Cited by 22 publications

References 95 publications

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

Optimization-based method of solving 2D thermal cloaking problems

Invisibility problem in acoustics, electromagnetism and heat transfer. Inverse design method

Contact Info

Product

Resources

About