Computational near-field radiative transfer and nf-rt-fdtd algorithm

Name: Computational near-field radiative transfer and nf-rt-fdtd algorithm
Author: Didari, A., Mengüç, Mustafa Pınar

İsim	Computational near-field radiative transfer and nf-rt-fdtd algorithm
Yazar	Didari, A., Mengüç, Mustafa Pınar
Basım Tarihi:	2020
Basım Yeri	- Begell House Inc.
Konu	Near-field radiative transfer, Computational electromagnetics, Metamaterials, Surface waves, Biomimetic nanophotonic systems
Tür	Kitap
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1049-0787
Kayıt Numarası	dead2420-0c29-40b5-9c51-dd22c2eaa917
Lokasyon	Mechanical Engineering
Tarih	2020
Notlar	TÜBİTAK ; European Union’s The Seventh Framework Programme
Örnek Metin	Understanding the fundamentals of near-field radiative transfer is essential for future development of new sensors and energy harvesting devices. Simulations of such problems would require a coupled solution of the electromagnetic wave equations along with the expressions for thermal emission from a body at finite temperature. Versatile computational tools, which account for the intricate physics and the computational challenges of the problems, are likely to help to the future nanomanufacturing systems and processes. These simulation methodologies should be valid for one-, two-, and three-dimensional geometries with inhomogeneities and arbitrary edges and should be applicable to different materials. In this chapter, we briefly review the recent works on numerical methods used to solve the computational near-field radiative transfer (NFRT) problems. Each of these methods has its own advantages and disadvantages, and no single technique can provide the complete and robust solution for all problems at hand. Then we outline an algorithm based on the finite difference time domain (FDTD) method for one- and two-dimensional NFRT problems. For this, we discuss the details of NF-RT-FDTD algorithm and show how this approach can be applied to surfaces covered with particles as well as with thin films with inhomogeneities. We also present simulations for more complicated biomimetic structures inspired by nature for possible sensing and energy harvesting applications. © 2020 by Begell House, Inc.
DOI	10.1615/AnnualRevHeatTransfer.2020032497

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Computational near-field radiative transfer and nf-rt-fdtd algorithm

Yazar Didari, A., Mengüç, Mustafa Pınar

Basım Tarihi 2020

Basım Yeri - Begell House Inc.

Konu Near-field radiative transfer, Computational electromagnetics, Metamaterials, Surface waves, Biomimetic nanophotonic systems

Tür Kitap

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1049-0787

Kayıt Numarası dead2420-0c29-40b5-9c51-dd22c2eaa917

Lokasyon Mechanical Engineering

Tarih 2020

Notlar TÜBİTAK ; European Union’s The Seventh Framework Programme

Örnek Metin Understanding the fundamentals of near-field radiative transfer is essential for future development of new sensors and energy harvesting devices. Simulations of such problems would require a coupled solution of the electromagnetic wave equations along with the expressions for thermal emission from a body at finite temperature. Versatile computational tools, which account for the intricate physics and the computational challenges of the problems, are likely to help to the future nanomanufacturing systems and processes. These simulation methodologies should be valid for one-, two-, and three-dimensional geometries with inhomogeneities and arbitrary edges and should be applicable to different materials. In this chapter, we briefly review the recent works on numerical methods used to solve the computational near-field radiative transfer (NFRT) problems. Each of these methods has its own advantages and disadvantages, and no single technique can provide the complete and robust solution for all problems at hand. Then we outline an algorithm based on the finite difference time domain (FDTD) method for one- and two-dimensional NFRT problems. For this, we discuss the details of NF-RT-FDTD algorithm and show how this approach can be applied to surfaces covered with particles as well as with thin films with inhomogeneities. We also present simulations for more complicated biomimetic structures inspired by nature for possible sensing and energy harvesting applications. © 2020 by Begell House, Inc.

DOI 10.1615/AnnualRevHeatTransfer.2020032497