A. K. Boddeti, A. Alabassi, V. Aggarwal, and Z. Jacob, “Spectral domain inverse design for accelerating nanocomposite metamaterials discovery”, Optical Materials Express, vol. 9, no. 12, pp. 4765–4771, 2019.
See also:
Machine Learning, Extreme Thermal Materials
PDF1.45 MB
Abstract
Inverse design techniques in the context of nanophotonics have helped in discovery of compact and counter-intuitive structures/shapes. We introduce the concept of spectral domain inverse design to search through the optical trade-space (dispersive permittivity) of nanocomposite metamaterials. We develop a hybrid optimization technique that combines genetic algorithms and gradient descent methods. We utilize this technique to inverse design an ultra-thin thermophotovoltaic emitter coating material. Our work can lead to an efficient approach to search for new multi-functional optical/thermal metamaterials with desired complex permittivity.