Artificial Intelligence in Biomaterials Design and Development
Series: Woodhead Publishing Series in Biomaterials;
- Publisher's listprice EUR 219.99
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93 319 Ft (88 875 Ft + 5% VAT)
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93 319 Ft
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Product details:
- Publisher Woodhead Publishing
- Date of Publication 2 June 2025
- ISBN 9780323954648
- Binding Paperback
- No. of pages500 pages
- Size 229x152 mm
- Language English 0
Categories
Long description:
Artificial intelligence in Biomaterials Design and Development explores the importance of artificial intelligence, especially machine learning methods, in the development of new biomaterials. Challenges in biomaterials development, such as chemical waste, space and lack of appropriate tools have impeded the rapid design and synthesis of versatile biomaterials. Machine learning enhances the discovery and development process, increasing throughput and reducing time, costs, and wastage. Novel generative models can generate novel molecular structures with desired properties, which make inverse materials design more feasible.
Artificial intelligence in Biomaterials Design and Development offers a much-needed exploration of how AI and machine learning can be utilized for rapid and accurate development of novel biomaterials. This book will be of interest to academics and researchers working in the fields of materials science, machine/deep learning, computational engineering, biomedical engineering, and data science.
- Introduces the reader to core concepts in AI and machine learning in the context of biomaterials, as well as providing practical examples to aid understanding
- Thoroughly reviews the role of AI and machine learning in the synthesis, characterization, and applications of novel biomaterials
- Delivers in-depth coverage of discriminative and generative models for properties prediction and de novo materials design/discovery
Table of Contents:
1. Introduction to artificial intelligence, machine learning, and deep learning
2. Useful tools and datasets for materials science and engineering
3. Artificial neural networks
4. From human genome to materials genome
5. Biomaterials properties-prediction based on discriminative models
6. de novo materials design based on generative models
7. AI-assisted synthesis planning and optimization of biomaterials
8. AI-assisted characterization of biomaterials
9. AI-assisted evaluation of biomaterials
10. AI and biomaterials in drug and vaccine development
11. AI and biomaterials in protein engineering
12. AI in biopolymer design/discovery/engineering
13. AI in designing/discovery of other biomaterials
14. AI-assisted biomaterials structures at scales
15. AI-assisted materials/scientific discoveries: Beyond pure machine learning
16. State-of-the-art and future perspectives on ML-assisted biomaterials design/discovery
