Machine learning for the design of nanomaterials

André-Pierre Blanchard-Dionne; Olivier J. F. Martin

doi:10.1117/12.2568471

20 August 2020 Machine learning for the design of nanomaterials

André-Pierre Blanchard-Dionne, Olivier J. F. Martin

Proceedings Volume 11462, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVIII; 114621C (2020) https://doi.org/10.1117/12.2568471
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

In this article we review some machine learning methods for the design of nanomaterials. The first part will discuss how to use neural network to build a predictive model of the optical properties of a certain material or structure. The second part is dedicated to the optimization and reverse engineering of an optical material using generative networks.

Conference Presentation

Citation Download Citation

André-Pierre Blanchard-Dionne and Olivier J. F. Martin "Machine learning for the design of nanomaterials", Proc. SPIE 11462, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVIII, 114621C (20 August 2020); https://doi.org/10.1117/12.2568471

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