Topology optimization of soft matter diffraction gratings

Peter Ropač; Miha Ravnik

doi:10.1117/12.3015860

18 June 2024 Topology optimization of soft matter diffraction gratings

Peter Ropač, Miha Ravnik

Proceedings Volume 13017, Machine Learning in Photonics; 1301708 (2024) https://doi.org/10.1117/12.3015860
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

Topology optimization was used to design various optical and photonic solid-state devices. The designs of those devices are commonly composed of only two materials with different refractive indexes, which means that the refractive index is not continuously spatially varying. With additive manufacturing, photoalignment and similar techniques it is possible to make almost arbitrary designs of soft-matter photonic devices. The advantage of such devices over solid-state devices is that the refractive index can continuously change, which can improve performance, and soft-matter devices can be more cost-effective to manufacture. We use topology optimization in combination with a FDTD solver to design soft-matter diffraction gratings for linearly polarized light with the first diffraction order at a specific angle. During the optimization process, we consider material and manufacturing constraints, such as structure relaxation and maximum feature sizes due to the elastic energy associated with the designed structure and chosen material. The diffraction gratings are optimized for light in the IR and visible parts of the spectrum. We calculated designs of soft-matter diffraction gratings which can be manufactured using photopatterning or additive manufacturing and diffract light at the designed angle for specific wavelengths. By using topology optimization for soft-matter optical/photonic devices we can improve their quality and, in some cases, create low-cost alternatives to solid-state devices.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peter Ropač and Miha Ravnik "Topology optimization of soft matter diffraction gratings", Proc. SPIE 13017, Machine Learning in Photonics, 1301708 (18 June 2024); https://doi.org/10.1117/12.3015860

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available