{"title":"Shape Memory Materials Database (SMMD): Finding Data Anomalies & Trends","authors":"P. Caltagirone, O. Benafan, S. Bostic","doi":"10.31399/asm.cp.smst2022p0053","DOIUrl":null,"url":null,"abstract":"\n A comprehensive shape memory materials database (SMMD) repository is being developed that provides access to a large collection of information on shape memory materials (SMMs) in a single source. The collection of point data and metadata provides insight into actuation properties, structural performance, chemical data, processing records, and similar factors pertinent to shape memory alloys, polymers, and ceramics. The data is organized in a 2D and 3D visualization platform allowing users to gain immediate access to data insights and trends with only a few button clicks. All data points have full traceability to the original source to verify findings and create a link to researchers and scientists within the community. In addition to millions of datapoints already displayed, the web-application also offers access to analysis tools, references to international standards, and resources pertinent to the SMM community.","PeriodicalId":119283,"journal":{"name":"SMST 2022: Extended Abstracts from the International Conference on Shape Memory and Superelastic Technologies","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SMST 2022: Extended Abstracts from the International Conference on Shape Memory and Superelastic Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31399/asm.cp.smst2022p0053","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
A comprehensive shape memory materials database (SMMD) repository is being developed that provides access to a large collection of information on shape memory materials (SMMs) in a single source. The collection of point data and metadata provides insight into actuation properties, structural performance, chemical data, processing records, and similar factors pertinent to shape memory alloys, polymers, and ceramics. The data is organized in a 2D and 3D visualization platform allowing users to gain immediate access to data insights and trends with only a few button clicks. All data points have full traceability to the original source to verify findings and create a link to researchers and scientists within the community. In addition to millions of datapoints already displayed, the web-application also offers access to analysis tools, references to international standards, and resources pertinent to the SMM community.