{"product_id":"9781394352944","title":"Stochastic Finite Element Modeling in Electronic Packaging","description":"\u003ch1\u003eStochastic Finite Element Modeling in Electronic Packaging\u003c\/h1\u003e\u003ch3\u003eLiu Chu\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ Stochastic Processes\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn expert integration of digital twin technology and advanced simulation methods for the design and optimization of electronic packaging systems\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn \u003ci\u003eStochastic Finite Element Modeling in Electronic Packaging\u003c\/i\u003e, distinguished researcher Liu Chu delivers an expert discussion of the latest advanced numerical methods and modeling techniques specific to electronic packaging. The book supplements its explanations with original MATLAB and ANSYS (APDL) code that can be applied immediately. It also includes robust examples that draw on a comprehensive description of the mechanics of electronic packaging modeling. \u003c\/p\u003e\n\u003cp\u003eChu explains the fundamentals of modeling logic and concepts in an accessible way that is ideal for beginners to the topic. She demonstrates practical guides and benchmarks that will assist readers in the testing, measurement, and modeling of their own materials. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA thorough introduction to a modeling approach that focuses on digital twins and big data applications, including Monte Carlo Sampling\u003c\/li\u003e\n\u003cli\u003eComprehensive explorations of benchmarks, testing, measurement, and modeling\u003c\/li\u003e\n\u003cli\u003ePractical discussions of theoretical finite element models in electronic packaging\u003c\/li\u003e\n\u003cli\u003eComplete treatments of the fundamentals of modeling logic and concepts\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate and graduate students in electrical engineering and computer science, \u003ci\u003eStochastic Finite Element Modeling in Electronic Packaging\u003c\/i\u003e will also benefit practicing electronic design engineers and academic researchers with an interest in electronic packaging and materials science.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eLiu Chu, PhD,\u003c\/b\u003e is an Associate Professor, School of Electronic and Information Engineering, Tongji University. Her research is primarily focused on uncertainty quantification in stochastic defects, numerical simulations for electronic packaging, and the development of advanced computational mechanics methods.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e10 February 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394352944\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e288\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e23.36\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44399182807180,"sku":"9781394352944","price":101.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394352944.jpg?v=1780154620","url":"https:\/\/lateknightbooks.com\/products\/9781394352944","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}