Nicht lieferbar
High Entropy Alloys
Schade – dieser Artikel ist leider ausverkauft. Sobald wir wissen, ob und wann der Artikel wieder verfügbar ist, informieren wir Sie an dieser Stelle.
  • Gebundenes Buch

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples.

It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
Autorenporträt
Dr. Saurabh S. Nene works as Assistant Professor at the Department of Metallurgical and Materials Engineering, IIT Jodhpur from August 2020. His academic journey started at the College of Engineering, Pune (COEP) where he completed his B. Tech. in Metallurgical Engineering in 2010, followed by M. Tech. in Materials Science from IIT Bombay in 2012. Later, he joined Ph.D. under a joint venture of IIT Bombay, India, and Monash University, Australia, where he received best PhD thesis award. Dr. Saurabh completed his doctoral research in 3.5 years in 2016. After completing his Ph.D., he joined COEP as Adjunct Professor in the Dept. Metallurgy and Materials Science and, later, moved to Centre for Friction Stir Processing (CFSP), University of North Texas (UNT) as Post-Doctoral Research Associate in March 2017, where he served for almost 3.5 years. Dr. Saurabh has worked in broader domains of physical and mechanical metallurgy with a focus on structure-property correlations in high entropy alloys. Currently, his research group focuses on designing and processing of microstructurally flexible high entropy alloys which have multi-functionality. He has published more than 71 International research papers with h-index of 21 and i10 of 34. His work on ultralight Mg-4Li-1Ca alloy design work was noted by Materials Science Magazine "Materials Today," and he was also listed in the top 2% scientist list in the field of Materials Science in 2021-2022.