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