東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Distributed Simulation and Optimization of Large-Area Metasurfaces.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed Simulation and Optimization of Large-Area Metasurfaces./
作者:	Skarda, Jinhie Lee.
面頁冊數:	1 online resource (154 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: B.
Contained By:	Dissertations Abstracts International84-05B.
標題:	Silicon. -
電子資源:	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.
LDR:02858nmm a2200361K 4500 001 2354662
005 20230428105642.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798357510808
035 $a (MiAaPQ)AAI29756334
035 $a (MiAaPQ)STANFORDzk069ch7237
035 $a AAI29756334
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Skarda, Jinhie Lee. $3 3695022
245 1 0 $a Distributed Simulation and Optimization of Large-Area Metasurfaces.
264 0 $c 2022
300 $a 1 online resource (154 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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
650 4 $a Silicon. $3 669429
650 4 $a Design. $3 518875
650 4 $a Geometry. $3 517251
650 4 $a Electric fields. $3 880423
650 4 $a Optimization. $3 891104
650 4 $a Sensors. $3 3549539
650 4 $a Electromagnetics. $3 3173223
650 4 $a Mathematics. $3 515831
650 4 $a Physics. $3 516296
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0389
690 $a 0607
690 $a 0405
690 $a 0605
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Stanford University. $3 754827
773 0 $t Dissertations Abstracts International $g 84-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29756334 $z click for full text (PQDT)