9780323954648 - artificial intelligence in biomaterials design and development (woodhead publishing series in biomaterials) (3 Ergebnisse)
Sprache: Englisch
Verlag: Elsevier Science 2025
Serie: Woodhead Publishing Series in Biomaterials, Buch 313 von 344. Buch 313 von 344 - Woodhead Publishing Series in Biomaterials
- Softcover
Anbieter: moluna, Greven, , Deutschlandmoluna
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EUR 264,98
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Zustand: New. Introduces the reader to core concepts in AI and machine learning in the context of biomaterials, as well as providing practical examples to aid understandingThoroughly reviews the role of AI and machine learning in the synthesis, character.
Sprache: Englisch
Verlag: Woodhead Pub Ltd 2025
Serie: Woodhead Publishing Series in Biomaterials, Buch 313 von 344. Buch 313 von 344 - Woodhead Publishing Series in Biomaterials
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 500 pages. 9.00x6.00x0.98 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc Dez 2025 2025
Serie: Woodhead Publishing Series in Biomaterials, Buch 313 von 344. Buch 313 von 344 - Woodhead Publishing Series in Biomaterials
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 372,42
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Taschenbuch. Zustand: Neu. Neuware - Artificial Intelligence in Biomaterials Design and Development delves into the transformative role of artificial intelligence, particularly machine learning, in creating new biomaterials. Traditional challenges in this field, such as chemical waste, spatial constraints, and inadequate tools,…have hindered the swift design and synthesis of versatile biomaterials. Machine learning methods address these barriers by enhancing discovery and development processes, reducing time, costs, and wastage. Generative models now enable the creation of novel molecular structures with desired properties, making inverse materials design a reality. This book is essential for those in materials science, machine learning, and biomedical engineering.Additionally, this comprehensive resource explores the application of AI in various aspects of biomaterials science, from computational engineering to data science. The book provides insights into how novel machine learning models can expedite materials discovery and improve accuracy. It is an invaluable guide for academics and industry professionals alike, seeking to leverage AI for innovative biomaterials research and development.
