Inverse Design of Random Emitters in Nanophotonics

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.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Yao, Wenjie

Advisor dc:contributor.advisor

• Johnson, Steven G.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/147522

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/147522