Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation Math to Product /
This book presents up-to-date state of the art for industrial mathematics and covers emerging topics in computational sciences. Mathematical models and computational methods have gained an increasing importance in the simulation of real-world and industrial problems. The employment of such methodolo...
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| Další autoři: | , , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Vydání: | 1st ed. 2025. |
| Edice: | Lecture Notes in Computational Science and Engineering,
146 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-95709-3 |
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Obsah:
- 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.