04118nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001600186072002300202072001500225245012000240250001800360264007200378300006400450336002600514337002600540338003600566347002400602505086900626520160301495650003003098650001203128650002803140650002803168650003003196650002303226650004303249700008503292710003403377773002603411776003603437776003603473776003603509856004603545912001403591912001403605999001703619978-981-99-7173-2DE-He21320251030113118.0cr nn 008mamaa240930s2024    si |    s    |||| 0|eng d  a97898199717329978-981-99-7173-27 a10.1007/978-981-99-7173-22doi 4aTA401-492 7aTGM2bicssc 7aTEC0210002bisacsh 7aTGM2thema10aHigh Entropy Alloysh[electronic resource] :bA Machine-Generated Literature Overview /cedited by Saurabh S. Nene.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIII, 310 p. 2 illus., 1 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 a1. 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.  aThis 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. 0aMaterials science.965330 0aMetals. 0aIndustrial engineering. 0aProduction engineering.14aMaterials Science.96533024aMetals and Alloys.24aIndustrial and Production Engineering.1 aNene, Saurabh S.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9853742 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981997172508iPrinted edition:z978981997174908iPrinted edition:z978981997175640uhttps://doi.org/10.1007/978-981-99-7173-2  aZDB-2-CMS  aZDB-2-SXC  c63891d63891