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Updated: Dec 13, 2025

Fabrication of Ultra-thin Color Films with Highly Absorbing Media Using Oblique Angle Deposition
Published on: August 29, 2017
Multilayer optical thin film design with deep Q learning
Anqing Jiang1,2, Yoshie Osamu3, Liangyao Chen4
1Graduate School of IPS, Waseda University, Fukuoka, Japan. anqingjiang0524@akane.waseda.jp.
Abstract:
Multilayer optical film plays a significant role in broad fields of optical application. Due to the nonlinear relationship between the dispersion characteristics of optical materials and the actual performance parameters of optical thin films, it is challenging to optimize optical thin film structure with the traditional models. In this paper, we present an implementation of Deep Q-learning, which suited for the most part for optical thin film. As a set of concrete demonstrations, we optimize solar absorber. The optimal program could optimal this solar absorber in 500 epoch (about 200 steps per-epoch) without any human intervention. Search results perform better than researchers' manual searches.
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