04343nam a22005295i 4500 978-981-99-7173-2 DE-He213 20251030113118.0 cr nn 008mamaa 240930s2024 si | s |||| 0|eng d 9789819971732 978-981-99-7173-2 10.1007/978-981-99-7173-2 doi TA401-492 TGM bicssc TEC021000 bisacsh TGM thema High Entropy Alloys [electronic resource] : A Machine-Generated Literature Overview / edited by Saurabh S. Nene. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 310 p. 2 illus., 1 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Introduction -- 2. Fundamentals of High Entropy Alloys -- 3. Design and Synthesis of High Entropy Alloys -- 3.1. Computational based approaches of HEA Design -- 3.2. AI and ML in the design of HEAs -- 3.3. Fabrication with Casting -- 3.4. Additively Manufactured HEA -- 4. Microstructure and mechanical properties of High Entropy Alloys -- 4.1. CoCrFeMnNi High Entropy Alloy -- 4.2. AlXCoCrFeNi system High Entropy Alloys-ok -- 4.3. Eutectic High Entropy Alloys -- 4.4. Metastable/transformative High Entropy Alloys -- 4.5. Refractory High Entropy Alloys -- 4.6. Light weight High Entropy Alloys -- 5. Fatigue/Fracture properties of High Entropy Alloys -- 6. Creep and super-plastic deformation in High Entropy Alloys -- 7. Welding/Joining of High Entropy Alloys -- 8. Corrosion behavior of High Entropy Alloys -- 9. High Entropy Alloys as Functional Materials. 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 thetopics. 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. Materials science. 65330 Metals. Industrial engineering. Production engineering. Materials Science. 65330 Metals and Alloys. Industrial and Production Engineering. Nene, Saurabh S. editor. edt http://id.loc.gov/vocabulary/relators/edt 85374 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819971725 Printed edition: 9789819971749 Printed edition: 9789819971756 https://doi.org/10.1007/978-981-99-7173-2 ZDB-2-CMS ZDB-2-SXC 63891 63891