activity
20192022
most citedDesign space reparameterization enforces hard geometric constraints in inverse-designed nanophotonic devices

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

physics.app-ph20201 cited

Design space reparameterization enforces hard geometric constraints in inverse-designed nanophotonic devices

Mingkun Chen, Jiaqi Jiang, Jonathan Fan

Inverse design algorithms are the basis for realizing high-performance, freeform nanophotonic devices. Current methods to enforce geometric constraints, such as practical fabricati…

physics.optics2020

Multiple Tunable Hyperbolic Resonances in Broadband Infrared Carbon-Nanotube Metamaterials

John Andris Roberts, Po-Hsun Ho, Shang-Jie Yu +5

Aligned, densely-packed carbon nanotube metamaterials prepared using vacuum filtration are an emerging infrared nanophotonic material. We report multiple hyperbolic plasmon resonan…

eess.IV2020

Deep neural networks for the evaluation and design of photonic devices

Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan

The data sciences revolution is poised to transform the way photonic systems are simulated and designed. Photonics are in many ways an ideal substrate for machine learning: the obj…

physics.optics2020

MetaNet: A new paradigm for data sharing in photonics research

Jiaqi Jiang, Robert Lupoiu, Evan W. Wang +4

Optimization methods are playing an increasingly important role in all facets of photonics engineering, from integrated photonics to free space diffractive optics. However, efforts…

physics.optics2019

Tunable Hyperbolic Metamaterials Based on Self-Assembled Carbon Nanotubes

John Andris Roberts, Shang-Jie Yu, Po-Hsun Ho +3

We show that packed, horizontally aligned films of single-walled carbon nanotubes are hyperbolic metamaterials with ultra-subwavelength unit cells and dynamic tunability. Using Mue…