2026-09-20T08:19:40Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1475222023-01-20T03:38:42Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Johnson, Steven G.
Yao, Wenjie
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2023-01-19T19:55:55Z
2023-01-19T19:55:55Z
2022-09
2022-10-19T19:11:43.840Z
https://hdl.handle.net/1721.1/147522
https://orcid.org/ 0000-0002-3165-8724
Incoherent light from random emitters, such as thermal radiation, are very common in nature. However, modeling such random emitters may be challenging, as it naively requires Maxwell’s equations to be solved for all emitters to obtain the total response, which becomes computationally intractable in conjunction with large-scale optimization (inverse design). In this work, we present a trace formulation of random emitters that can be efficiently combined with inverse design, even for topology optimization over thousands of design degrees of freedom.
We begin with a trivial case where the emitter is at a single location with random orientations, which leads to compute the local density of states (LDOS). In a previous work, a shape-independent upper limit was derived for LDOS, but simple geometries such as bowtie are 2-3 orders of magnitude away from this limit. By computational optimization of air-void cavities in metallic substrates, we show that the LDOS can reach within a factor of ≈ 10 of the upper limits, and within a factor ≈ 4 for the single-polarization LDOS, demonstrating that the theoretical limits are nearly attainable.
We then study the more general case where emitters are distributed randomly in space. We present several examples of incoherent-emission topology optimization (TopOpt), including tailoring the geometry of fluorescent particles, a periodically
emitting surface, and a structure emitting into a waveguide mode.
Finally, we employ our trace formulation for inverse design of nanopatterned surfaces that maximize spatially averaged surface-enhanced Raman (SERS) spectra from molecules distributed randomly throughout a material or fluid. This leads to radically different designs than optimizing SERS emission at a single known location, as we illustrate using several 2D design problems addressing effects of hot-spot density, angular selectivity, and nonlinear damage. We obtain optimized structures that perform about 4× better than coating with optimized spheres or bowtie structures and about 20× better when the nonlinear damage effects are included.
Ph.D.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Inverse Design of Random Emitters in Nanophotonics
Thesis
application/pdf
Doctoral
Doctor of Philosophy
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="65ba8373-dbf6-476e-93dd-63acc6d1739d">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Inverse Design of Random Emitters in Nanophotonics</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2022-09</PublicationDate>
<Authors>
<Author>
<DisplayName>Yao, Wenjie</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://rightsstatements.org/page/InC-EDU/1.0/</License>
<Abstract>Incoherent light from random emitters, such as thermal radiation, are very common in nature. However, modeling such random emitters may be challenging, as it naively requires Maxwell’s equations to be solved for all emitters to obtain the total response, which becomes computationally intractable in conjunction with large-scale optimization (inverse design). In this work, we present a trace formulation of random emitters that can be efficiently combined with inverse design, even for topology optimization over thousands of design degrees of freedom.
We begin with a trivial case where the emitter is at a single location with random orientations, which leads to compute the local density of states (LDOS). In a previous work, a shape-independent upper limit was derived for LDOS, but simple geometries such as bowtie are 2-3 orders of magnitude away from this limit. By computational optimization of air-void cavities in metallic substrates, we show that the LDOS can reach within a factor of ≈ 10 of the upper limits, and within a factor ≈ 4 for the single-polarization LDOS, demonstrating that the theoretical limits are nearly attainable.
We then study the more general case where emitters are distributed randomly in space. We present several examples of incoherent-emission topology optimization (TopOpt), including tailoring the geometry of fluorescent particles, a periodically
emitting surface, and a structure emitting into a waveguide mode.
Finally, we employ our trace formulation for inverse design of nanopatterned surfaces that maximize spatially averaged surface-enhanced Raman (SERS) spectra from molecules distributed randomly throughout a material or fluid. This leads to radically different designs than optimizing SERS emission at a single known location, as we illustrate using several 2D design problems addressing effects of hot-spot density, angular selectivity, and nonlinear damage. We obtain optimized structures that perform about 4× better than coating with optimized spheres or bowtie structures and about 20× better when the nonlinear damage effects are included.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>