J. Baxter, Antonio Calà Lesina, J. Guay, L. Ramunno
{"title":"Machine Learning Applications in Plasmonics","authors":"J. Baxter, Antonio Calà Lesina, J. Guay, L. Ramunno","doi":"10.1109/PN.2018.8438845","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":423625,"journal":{"name":"2018 Photonics North (PN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Photonics North (PN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PN.2018.8438845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
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.