Machine Learning for Advanced Functional Materials

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Éditeur :

Springer


Paru le : 2023-05-22

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Description

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.
Pages
303 pages
Collection
n.c
Parution
2023-05-22
Marque
Springer
EAN papier
9789819903924
EAN PDF
9789819903931

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
10609 Ko
Prix
126,59 €
EAN EPUB
9789819903931

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
57969 Ko
Prix
126,59 €

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