Data Driven Approach to the Compositional Design of Metallic Glasses - Couverture souple

Tripathi, Manwendra Kumar; Ganguly, Subhas

 
9786202196697: Data Driven Approach to the Compositional Design of Metallic Glasses
Couverture souple
ISBN 10 : 6202196696 ISBN 13 : 9786202196697
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address the need of those researchers, who have been in search of a case study of application of machine learning based techniques, for design of materials composition. The authors believe that this book will be useful to the researchers in the domain of Compositional Design of Metallic Glasses in particular, and Materials Engineers in general.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address the need of those researchers, who have been in search of a case study of application of machine learning based techniques, for design of materials composition. The authors believe that this book will be useful to the researchers in the domain of Compositional Design of Metallic Glasses in particular, and Materials Engineers in general.

Biographie de l'auteur

Dr. Manwendra Tripathi has completed his PhD in Compositional Design of Bulk Metallic Glasses using Material Informatics from Indian Institute of Technology Shibpur, India. He has nine years of teaching and research experience as faculty in Department of Metallurgical Engineering, National Institute of Technology Raipur, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202196696
ISBN 13 
9786202196697
Reliure
Broché
Nombre de pages
256
Coordonnées du fabricant
non disponible
Personne responsable
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