[Th-P] Semiconductor hybrid systems and novel devices

[Th-P-105] Prediction of Material Permittivities from Casimir Forces Using Machine Learning

〇Hideo Iizuka¹, Shanhui Fan² (1. Toyota Central R&D Labs., Inc. (Japan), 2. Stanford University (USA))

We consider the Casimir force in a parallel-plate geometry, with one plate covered by a thin film. Using machine learning, we show that one can infer both the film thickness and its permittivity over a broad frequency range.