Mohlo by se vám také líbit

Více informací o knize Artificial Intelligence in Biomaterials Design & Development

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 625 bodů

Anotace knihy

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

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Technology: general issues Engineering: general

• Plný název: Artificial Intelligence in Biomaterials Design & Development
• Autor: Mohsen Khodadadi Yazdi, Payam Zarrintaj, Mohammad Reza Saeb, Masoud Mozafari, Sidi A. Bencherif
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 500
• EAN: 9780323954648
• ISBN: 0323954642
• ID: 47015890
• Nakladatelství: Elsevier Science
• Hmotnost: 1000 g
• Rozměry: 229 × 152 mm
• Datum vydání: 02. June 2025

Oblíbené z jiného soudku

---

---

---