{"title":"Design and implementation of a modular communication system for the synthesis of atomically thin nanomaterials","authors":"Silvino P. Bastos, G. Sáenz, A. Kaul","doi":"10.1109/ICCSE.2017.8085487","DOIUrl":null,"url":null,"abstract":"High quality atomically thin nanomaterials synthesis by Chemical Vapor Deposition method is a research area in current development. The resulting material depends intimately on the parameters used for the growth, with each material having its own unique process space. In this work, a Modular Communication System has been designed and developed to solve challenges in the synthesis of a wide variety of nanomaterials. Through this modular automation approach, reducing time and cost to optimize material properties, facilitate the data analysis for a more comprehensive understanding of how the process parameters affect the growth, crystallinity and thickness of the synthesized nanomaterials.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Computer Science and Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2017.8085487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
High quality atomically thin nanomaterials synthesis by Chemical Vapor Deposition method is a research area in current development. The resulting material depends intimately on the parameters used for the growth, with each material having its own unique process space. In this work, a Modular Communication System has been designed and developed to solve challenges in the synthesis of a wide variety of nanomaterials. Through this modular automation approach, reducing time and cost to optimize material properties, facilitate the data analysis for a more comprehensive understanding of how the process parameters affect the growth, crystallinity and thickness of the synthesized nanomaterials.