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Distributed Simulation and Optimization of Large-Area Metasurfaces.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed Simulation and Optimization of Large-Area Metasurfaces./
Author:	Skarda, Jinhie Lee.
Description:	1 online resource (154 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
Subject:	Silicon. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29756334click for full text (PQDT)
ISBN:	9798357510808

Distributed Simulation and Optimization of Large-Area Metasurfaces.
Skarda, Jinhie Lee.

Distributed Simulation and Optimization of Large-Area Metasurfaces. - 1 online resource (154 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: B.

Thesis (Ph.D.)--Stanford University, 2022.

Includes bibliographical references

Emerging technologies such as augmented reality, lidar, and mobile imaging have opened a large market for complex, compact, and mass-producible optical systems. Metasurfaces are a promising building block for such next-generation systems. These flat optical elements can use subwavelength scatterers to control light, and can be mass-produced in the same advanced semiconductor foundries that have enabled successful scaling of consumer electronics. However, although metasurface functionality can be experimentally demonstrated, simulating metasurfaces is a central challenge in metasurface design.This simulation challenge arises because metasurfaces typically span thousands of wavelengths in linear dimension, rendering traditional electromagnetic simulation techniques (e.g. Finite-Difference and Finite-Element methods) intractable. Here, we present a metasurface simulation distribution strategy that can preserve the simulation accuracy while allowing scalability to arbitrarily-large areas. Using this distribution strategy with a GPU-based implementation of the Transition-matrix (T-matrix) method, we show a record-size 3-dimensional metasurface simulation (over 600 lambda by 600 lambda) that accurately accounts for scatterer-scatterer interactions significantly beyond the commonly-used locally periodic approximation. We then demonstrate gradient-based optimization of single and multilayer metasurfaces using our distributed T-matrix method. Finally, we discuss using the distribution strategy with Finite-Difference Time-Domain solvers to handle arbitrary scatterer geometries.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798357510808Subjects--Topical Terms:

669429
Silicon.
Index Terms--Genre/Form:

542853
Electronic books.

Distributed Simulation and Optimization of Large-Area Metasurfaces.
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245 1 0 $a Distributed Simulation and Optimization of Large-Area Metasurfaces.
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500 $a Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
500 $a Advisor: Vuckovic, Jelena.
502 $a Thesis (Ph.D.)--Stanford University, 2022.
504 $a Includes bibliographical references
520 $a Emerging technologies such as augmented reality, lidar, and mobile imaging have opened a large market for complex, compact, and mass-producible optical systems. Metasurfaces are a promising building block for such next-generation systems. These flat optical elements can use subwavelength scatterers to control light, and can be mass-produced in the same advanced semiconductor foundries that have enabled successful scaling of consumer electronics. However, although metasurface functionality can be experimentally demonstrated, simulating metasurfaces is a central challenge in metasurface design.This simulation challenge arises because metasurfaces typically span thousands of wavelengths in linear dimension, rendering traditional electromagnetic simulation techniques (e.g. Finite-Difference and Finite-Element methods) intractable. Here, we present a metasurface simulation distribution strategy that can preserve the simulation accuracy while allowing scalability to arbitrarily-large areas. Using this distribution strategy with a GPU-based implementation of the Transition-matrix (T-matrix) method, we show a record-size 3-dimensional metasurface simulation (over 600 lambda by 600 lambda) that accurately accounts for scatterer-scatterer interactions significantly beyond the commonly-used locally periodic approximation. We then demonstrate gradient-based optimization of single and multilayer metasurfaces using our distributed T-matrix method. Finally, we discuss using the distribution strategy with Finite-Difference Time-Domain solvers to handle arbitrary scatterer geometries.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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