{"product_id":"9783031875748","title":"A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies","description":"\u003ch3\u003eStudies in Big Data\u003c\/h3\u003e\u003ch1\u003eA Gentle Introduction to Data, Learning, and Model Order Reduction\u003c\/h1\u003e\u003ch2\u003eTechniques and Twinning Methodologies\u003c\/h2\u003e\u003ch3\u003eFrancisco Chinesta | Elías Cueto | Victor Champaney | Chady Ghnatios | Amine Ammar | Nicolas Hascoët | David González | Icíar Alfaro | Daniele Di Lorenzo | Angelo Pasquale | Dominique Baillargeat\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003e\u003cspan lang=\"en-US\" data-olk-copy-source=\"MessageBody\"\u003eThis open access book explores \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003ethe latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections—\u003cem\u003eAround Data, Around Learning, Around Reduction, and Around Data Assimilation \u0026amp; Twinning\u003c\/em\u003e—this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\" data-olk-copy-source=\"MessageBody\"\u003eFrancisco Chinesta\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Professor of Computational Physics at Arts et Métiers Institute of Technology, Paris and programme director at CNRS@CREATE, Singapore. His research focuses on computational physics, model order reduction, and hybrid artificial intelligence.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eElias Cueto\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Professor of Continuum Mechanics at \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eUniversidad de Zaragoza\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. His research covers model order reduction, \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eartificial intelligence\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e and computational mechanics.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eVictor Champaney\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e \u003cs\u003e–\u003c\/s\u003e Researcher at Arts et Métiers Institute of Technology, Paris. His work specializes in model order reduction, hybrid modeling and frugal AI techniques.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eChady Ghnatios\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Professor of Mechanical Engineering at \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eUniversity of North Florida, USA\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. His research focuses on model order reduction, advanced simulation, \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003emachine learning \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eand hybrid modeling.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eAmine Ammar\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Professor of Computational Mechanics at Arts et Métiers Institute of Technology, \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eAngers\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. His expertise lies in kinetic theory models, model reduction, and computational material forming.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eNicolas Hascoët\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Associate Professor at Arts et Métiers Institute of Technology, Paris. His research focuses on machine learning and data science for industrial applications.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eDavid Gonzalez\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eProfessor of Continuum Mechanics \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eat \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eUniversidad de Zaragoza\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. His research interests include model reduction, real-time computational simulations, and physics-informed AI.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eIcíar Alfaro\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Associate Professor at \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eUniversidad de Zaragoza\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. She specializes in numerical methods, solid mechanics, and physics-informed neural networks.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eDaniele Di Lorenzo\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Researcher at Arts et Métiers Institute of Technology, Paris. His research focuses on inverse analysis, hybrid modeling, and digital twins for structural health monitoring.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eAngelo Pasquale\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Researcher in Computational Mechanics at Arts et Métiers Institute of Technology, \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eParis\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. He specializes in AI-enhanced simulations, model order reduction and multiscale modeling.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"en-US\"\u003eDominique Baillargeat\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"en-US\"\u003e – Professor at the University of Limoges\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e and Director of CNRS@CREATE at Singapore\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e. His research focuses on high-frequency electronics, nanotechnologies, and advanced modeling \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003eand simulation \u003c\/span\u003e\u003cspan lang=\"en-US\"\u003etechniques\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e using Hybrid-AI\u003c\/span\u003e\u003cspan lang=\"en-US\"\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e23 July 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eUniversity of Zaragoza\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783031875748\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e227\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"University of Zaragoza","offers":[{"title":"Default Title","offer_id":52283989164172,"sku":"9783031875748","price":44.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9783031875748","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}