Pub Date : 2024-06-24DOI: 10.1109/TCPMT.2024.3418342
Ziyuan Wang;Karanvir S. Sidhu;Roni Khazaka
This article investigates the application of tensor decomposition and the stochastic Galerkin method for the uncertainty quantification of complex systems characterized by high parameter dimensionality. By employing these methods, we construct surrogate models aimed at efficiently predicting system output uncertainty. The effectiveness of our approaches is demonstrated through a comparative analysis of accuracy and central processing unit (CPU) cost with conventional Galerkin methods, using two transmission line circuit examples with up to 25 parameters.
{"title":"High-Dimensional Uncertainty Quantification Using Stochastic Galerkin and Tensor Decomposition","authors":"Ziyuan Wang;Karanvir S. Sidhu;Roni Khazaka","doi":"10.1109/TCPMT.2024.3418342","DOIUrl":"10.1109/TCPMT.2024.3418342","url":null,"abstract":"This article investigates the application of tensor decomposition and the stochastic Galerkin method for the uncertainty quantification of complex systems characterized by high parameter dimensionality. By employing these methods, we construct surrogate models aimed at efficiently predicting system output uncertainty. The effectiveness of our approaches is demonstrated through a comparative analysis of accuracy and central processing unit (CPU) cost with conventional Galerkin methods, using two transmission line circuit examples with up to 25 parameters.","PeriodicalId":13085,"journal":{"name":"IEEE Transactions on Components, Packaging and Manufacturing Technology","volume":"14 8","pages":"1461-1473"},"PeriodicalIF":2.3,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-20DOI: 10.1109/TCPMT.2024.3417261
Mingming Yi;Wenhui Zhu;Ping Wu;Yiou Qiu;Guoliao Sun;Liancheng Wang
Copper-based conductive inks have been extensively researched due to their low sintering temperature and high anti-oxidation properties for various electrical devices. However, the unstable oxidation properties of copper (Cu) limit its practical application. The existing anti-oxidation methods adopted in copper sintering often reduce copper strength and reliability. Therefore, the study presents a novel copper composite ink comprising copper precursors, copper microparticles, organic protective agents, and antioxidants. The sintering process is simple, requiring only 20 min at $300~^{circ }$