Center for Energy, Environment and Economy

Permanent URI for this collectionhttps://hdl.handle.net/10679/7143

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Browsing by Subject "Computational electromagnetics"

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    Computational near-field radiative transfer and nf-rt-fdtd algorithm
    (Begell House Inc., 2020) Didari, A.; Mengüç, Mustafa Pınar; Mechanical Engineering; MENGÜÇ, Mustafa Pınar
    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.
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    Near-field radiative transfer for biologically inspired structures
    (Elsevier, 2023-01-01) Didari-Bader, A.; Mengüç, Mustafa Pınar; Mechanical Engineering; MENGÜÇ, Mustafa Pınar
    The field of biomimetic nanophotonics has the potential to open up unprecedented pathways for the development of sophisticated and unique devices and systems as it brings different disciplines together, including biology, physics, optics, thermal sciences, design, and nanoscale manufacturing. Given the complexity of the field, it is crucial to develop the computational tools necessary to predict the interaction between different phenomena before delving into expensive laboratory studies. In this chapter, we explore biomimetic nanophotonic systems from the standpoint of thermal and computational sciences. Particularly, we focus on near-field radiative transfer for different structures by using finite-difference time domain algorithm for the solution of problems in complex geometries. We provide the results for two case studies, one inspired by the Morpho didius butterfly and the other one from neon tetra Paracheirodon innesi fish, showing that significant spectrally selective bands can be obtained. We expect that these approaches are eventually to be adapted for new manufacturing paradigms which may be useful for the development of next-generation sensors, energy harvesting devices, and radiative cooling mechanisms.