Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation: Math to Product

Author:   Matteo Giacomini ,  Simona Perotto ,  Gianluigi Rozza
Publisher:   Springer International Publishing AG
Volume:   146
ISBN:  

9783031957086


Pages:   382
Publication Date:   23 November 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation: Math to Product


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Author:   Matteo Giacomini ,  Simona Perotto ,  Gianluigi Rozza
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   146
ISBN:  

9783031957086


ISBN 10:   3031957083
Pages:   382
Publication Date:   23 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Reduced Order Modeling in computational fluid dynamics: an overview of methods and applications.-  Digital Twins for Predictive Maintenance in Industry: A Statistical and Deep Learning-Based Approach.- Hybrid energy system based on constrained optimization using simulated annealing.-  Investigating ANN accuracy changes through cluster-based cost function modification.- On the use of manifold learning tools for coherent object interpolation based on geometrical and topological descriptors.- Design of a checkerboard counter flow heat exchanger for industrial applications.-  A PINN framework for perturbed poromechanical models.- Exploiting scientific machine learning on embedded digital twins.- Review of: Simulations of thermally-driven winds on Mars:the Gale crater case.-  Industrial applications of lift and drag forces  in chaotic flow.- T8code- Scalable Adaptive Mesh Refinement.

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Author Information

Gianluigi Rozza is Professor in numerical analysis and scientific computing at International School for Advanced Studies-SISSA, Trieste, Italy. He obtained Ph.D. in applied mathematics at EPFL in 2005, M.Sc. in aerospace engineering at Politecnico di Milano in 2002, and post-doc at MIT. At SISSA he is Coordinator of SISSA mathLab group and Lecturer in the master in high-performance computing. He is  SISSA Director’s Delegate for Valorisation, Innovation, Technology Transfer, and Industrial Cooperation. His research is mostly focused on numerical analysis and scientific computing, developing reduced order methods. He is Author of more than 130 scientific publications (editor of six books and author of two books). He is advisor of 35 master theses and Co-Director/Director of 22 Ph.D. theses since 2009.  He is Principal Investigator of the European Research Council Consolidator Grant (H2020) AROMA-CFD and PoC ARGOS (HE), as well as for the project FARE-AROMA-CFD funded by Italian Government.  Since 2022 he is co-founder and scientific director of FAST Computing, SISSA startup. Simona Perotto is Full Professor of Numerical Analysis at the Department of Mathematics, Politecnico di Milano, Italy. She has over 20 years of experience in mesh generation and adaptation, and more than 10 years of expertise in model reduction and adaptive techniques within the framework of finite element approximation for partial differential equations. Her applied research spans a wide range of fields, including the design of advanced materials, mathematical modeling in medical hemodynamics, image processing, and soilless cultivation in vertical farming systems. She is the author or co-author of around 90 scientific articles in international peer-reviewed journals and has contributed to approximately 40 book chapters and conference proceedings. Prof. Perotto has supervised more than 80 Master’s theses and 9 PhD students.  Since April 2021, she is also co-founder, shareholder and president of the spin-off ADAPTA studio of Politecnico di Milano. Matteo Giacomini is associate professor of computational engineering at Universitat Politècnica de Catalunya (UPC). He holds a BSc (2010) and an MSc (2013) in mathematical engineering from Politecnico di Milano, and a PhD in applied mathematics from Ecole polytechnique - Université Paris-Saclay (2016). At UPC, he is member of the Laboratori de Càlcul Numèric (LaCàN), affiliated researcher at CIMNE, the International Centre for Numerical Methods in Engineering, and affiliated faculty at IMTech, the Institute of Mathematics of UPC-BarcelonaTech. His research broadly focuses on computational science and engineering, from the development of advanced discretisation and reduced order methods for parametric partial differential equations to the solution of PDE-constrained optimisation problems. He is author of 30 articles published in reputable peer-reviewed journals, he regularly contributes to ECCOMAS, IACM, and SIAM congresses, with more than 70 conference contributions and 20 organised minisymposia, and he has supervised/co-supervised 9 defended PhD theses and more than 30 students spanning from Bachelor to Master programmes. In 2022, he received the Juan Carlos Simó award by the Spanish Society of Computational Mechanics and Computational Engineering (SEMNI). He is Fellow of the Serra Húnter Progamme of the Government of Catalonia.

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