Machine Learning for Advanced Functional Materials (1st ed. 2023)
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- Synopsis
- This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789819903931
- Related ISBNs:
- 9789819903924
- Publisher:
- Springer Nature Singapore
- Date of Addition:
- 06/30/23
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Technology, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Nirav Joshi
- Edited by:
- Vinod Kushvaha
- Edited by:
- Priyanka Madhushri
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- by Nirav Joshi
- by Vinod Kushvaha
- by Priyanka Madhushri
- in Nonfiction
- in Science
- in Computers and Internet
- in Technology
- in Medicine