Christopher Yeung, David Ho, Benjamin Pham, Katherine T Fountaine, A. Raman
{"title":"Enhancing adjoint optimization-based photonics inverse design with explainable machine learning","authors":"Christopher Yeung, David Ho, Benjamin Pham, Katherine T Fountaine, A. Raman","doi":"10.1117/12.2610548","DOIUrl":"https://doi.org/10.1117/12.2610548","url":null,"abstract":"A fundamental challenge in the design of photonic devices and electromagnetic structures more generally is the optimization of their overall architecture to achieve a desired response. To this end, topology or shape optimizers based on the adjoint variables method have been widely adopted due to their high computational efficiency and ability to create complex freeform geometries. However, the functional understanding of such freeform structures remains black box. Moreover, unless a design space of high-performance devices is known in advance, such gradient-based optimizers can get trapped in local minima, limiting performance achievable through this inverse design process. To elucidate the relationships between device performance and nanoscale structuring, while mitigating the effects of local minima trapping, we present an inverse design framework that combines adjoint optimization, automated machine learning (AutoML), and explainable artificial intelligence (XAI). Integrated with a numerical electromagnetics simulation method, our framework reveals structural contributions towards a figure-of-merit (FOM) of interest, then leverages this information to minimize the FOM further than that obtained through adjoint optimization alone, overcoming local minima. We demonstrate our framework in the context of waveguide design and achieve between 43% and 74% increases in device performance relative to state-of-the-art adjoint optimization-based inverse design across a range of telecom wavelengths. Results of this work thus highlight machine learning strategies that can substantially extend and improve the capabilities of a conventional, optimization-based inverse design algorithm while revealing deeper insights into the algorithm’s designs.","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128301274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diffractive optical networks with scale, shift, and rotation invariance","authors":"Deniz Mengu, Y. Rivenson, Aydogan Ozcan","doi":"10.1117/12.2609500","DOIUrl":"https://doi.org/10.1117/12.2609500","url":null,"abstract":"","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128431440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Henry Do, Xintao Zhao, Ancheng Da, J. Gregg, Yunbo Liu, S. Lee
{"title":"Miniaturized integrative polarizer system for autonomous glare removal","authors":"Henry Do, Xintao Zhao, Ancheng Da, J. Gregg, Yunbo Liu, S. Lee","doi":"10.1117/12.2609936","DOIUrl":"https://doi.org/10.1117/12.2609936","url":null,"abstract":"","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High speed 2D-photodetector array device and its application for optical signal processing","authors":"T. Umezawa, Y. Yoshida, A. Kanno, N. Yamamoto","doi":"10.1117/12.2607239","DOIUrl":"https://doi.org/10.1117/12.2607239","url":null,"abstract":"","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128599344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physics-informed neural network for predicting electric field distributions and permittivities of circular split-ring resonators","authors":"P. Pillai, A. Chaudhuri, B. Rai, P. Pal","doi":"10.1117/12.2609446","DOIUrl":"https://doi.org/10.1117/12.2609446","url":null,"abstract":"","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117301297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Delloye, G. Jacucci, D. Pierangeli, M. Rafayelyan, C. Conti, S. Gigan
{"title":"Tuneable spin-glass optical simulator based on multiple light scattering","authors":"L. Delloye, G. Jacucci, D. Pierangeli, M. Rafayelyan, C. Conti, S. Gigan","doi":"10.1117/12.2625600","DOIUrl":"https://doi.org/10.1117/12.2625600","url":null,"abstract":"Gianni Jacucci,1, § Louis Delloye,1, § Davide Pierangeli,2, 3 Mushegh Rafayelyan,4 Claudio Conti,2, 3 and Sylvain Gigan1 Laboratoire Kastler Brossel, Sorbonne Université, Ecole Normale Supérieure-Paris Sciences et Lettres (PSL) Research University, Centre Nationale de la Recherche Scientifique (CNRS) UMR 8552, Collège de France, 24 rue Lhomond, 75005 Paris, France Institute for Complex System, National Research Council (ISC-CNR), 00185 Rome, Italy Dipartimento di Fisica, Università di Roma “La Sapienza”, 00185 Rome, Italy Department of Physics, Yerevan State University, 0025 Yerevan, Armenia","PeriodicalId":120461,"journal":{"name":"AI and Optical Data Sciences III","volume":"55 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}