机器学习在等离子体中的应用

2018 Photonics North (PN) Pub Date : 2018-06-01 DOI:10.1109/PN.2018.8438845

J. Baxter, Antonio Calà Lesina, J. Guay, L. Ramunno

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引用次数: 2

摘要

从实验和模拟中获得的大量数据使光子学领域成为机器学习应用的完美环境。在这里，我们将应用深度神经网络(dnn)来预测纳米结构表面的颜色，使用纳米粒子几何参数或用于开发纳米结构表面的激光参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine Learning Applications in Plasmonics

The abundance of acquired data from experiments and simulations makes the field of photonics a perfect environment for machine learning applications. Here we will apply Deep Neural Networks (DNNs) to predict the colour of nano-structured surfaces using either the nanoparticle geometric parameters, or laser parameters used to develop the nano-structured surfaces.

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来源期刊

2018 Photonics North (PN)

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