Data Driven Approach to the Compositional Design of Metallic Glasses

Language: English

Published by LAP LAMBERT Academic Publishing, 2017

6202196696 / 9786202196697

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9786202196697

Title
Data Driven Approach to the Compositional Design of Metallic Glasses
Author
Manwendra Kumar Tripathi
Publisher
LAP LAMBERT Academic Publishing
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202196696
ISBN 13
9786202196697
Item weight
399 grams
Dimensions
220x150x16 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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