New Optimization Strategies in Inverse Electromagnetics Design

Location: 
Mann Engineer Student Center - Room 107 (located in Dunham Lab – 10 Hillhouse Ave) See map
10 Hillhouse Avenue
New Haven, CT 06511

Solid State & Optics Seminar Series

sponsored by “The Flint Fund Series on Quantum Devices and Nanostructures”

Wednesday, October 30, 2019

1:00pm

Mann Engineer Student Center - Room 107

(located in Dunham Lab – 10 Hillhouse Ave)

Prof. Jon Fan

Assistant Prof. of Electrical Engineering at Stanford

New Optimization Strategies in Inverse Electromagnetics Design

In this talk, I will discuss new advances in the inverse design of nanophotonic devices.  As a model system, I will focus on the application of these design modalities to high efficiency metasurfaces, though the concepts are general and broadly apply to passive electromagnetic systems.  First, I will show how freeform geometric design can be achieved using the adjoint variables method.  The resulting devices utilize qualitatively new types of light-matter interactions based on strong near-field interactions between nanostructures, enabling new diffractive optics phenomena.  I will then discuss two ways generative neural networks can augment and generalize the freeform inverse design process.  The first is with generative adversarial networks, which can learn from images of topology-optimized devices.  The second is from global topology optimization networks, termed GLONets, in which the global optimization process is reframed as the training of a generative neural network.  These ideas help set the stage for data-driven approaches to be used in defining the next generation of high performance electromagnetic technologies.

Jonathan Fan is an Assistant Professor in the Department of Electrical Engineering at Stanford University, where he is researching new design methodologies and materials approaches to nanophotonic systems.  He received his bachelor’s degree with highest honors from Princeton University and his doctorate from Harvard University.  He is the recipient of the Air Force Young Investigator Award, Sloan Foundation Fellowship in Physics, Packard Foundation Fellowship, and the Presidential Early Career Award for Scientists and Engineers.  

Hosted by Prof. Owen Miller

Applied Physics

Yale University

Solid State & Optics Seminar Series

sponsored by “The Flint Fund Series on Quantum Devices and Nanostructures”

Wednesday, October 30, 2019

1:00pm

Mann Engineer Student Center - Room 107

(located in Dunham Lab – 10 Hillhouse Ave)

Prof. Jon Fan

Assistant Prof. of Electrical Engineering at Stanford

New Optimization Strategies in Inverse Electromagnetics Design

In this talk, I will discuss new advances in the inverse design of nanophotonic devices.  As a model system, I will focus on the application of these design modalities to high efficiency metasurfaces, though the concepts are general and broadly apply to passive electromagnetic systems.  First, I will show how freeform geometric design can be achieved using the adjoint variables method.  The resulting devices utilize qualitatively new types of light-matter interactions based on strong near-field interactions between nanostructures, enabling new diffractive optics phenomena.  I will then discuss two ways generative neural networks can augment and generalize the freeform inverse design process.  The first is with generative adversarial networks, which can learn from images of topology-optimized devices.  The second is from global topology optimization networks, termed GLONets, in which the global optimization process is reframed as the training of a generative neural network.  These ideas help set the stage for data-driven approaches to be used in defining the next generation of high performance electromagnetic technologies.

Jonathan Fan is an Assistant Professor in the Department of Electrical Engineering at Stanford University, where he is researching new design methodologies and materials approaches to nanophotonic systems.  He received his bachelor’s degree with highest honors from Princeton University and his doctorate from Harvard University.  He is the recipient of the Air Force Young Investigator Award, Sloan Foundation Fellowship in Physics, Packard Foundation Fellowship, and the Presidential Early Career Award for Scientists and Engineers. 

Hosted by Prof. Owen Miller

Applied Physics

Yale University

Event time: 
Wednesday, October 30, 2019 - 1:00pm
Sponsor: 
The Flint Fund Series on Quantum Devices and Nanostructures”
Presented By: 
Prof. Jon Fan
Department: 
Assistant Prof. of Electrical Engineering at Stanford
Hosted By: 
Prof. Owen Miller