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024 7 _a10.1007/978-981-99-7173-2
_2doi
050 4 _aTA401-492
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_2bicssc
072 7 _aTEC021000
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245 1 0 _aHigh Entropy Alloys
_h[electronic resource] :
_bA Machine-Generated Literature Overview /
_cedited by Saurabh S. Nene.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIII, 310 p. 2 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aMaterials science.
_965330
650 0 _aMetals.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aMaterials Science.
_965330
650 2 4 _aMetals and Alloys.
650 2 4 _aIndustrial and Production Engineering.
700 1 _aNene, Saurabh S.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_985374
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819971725
776 0 8 _iPrinted edition:
_z9789819971749
776 0 8 _iPrinted edition:
_z9789819971756
856 4 0 _uhttps://doi.org/10.1007/978-981-99-7173-2
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912 _aZDB-2-SXC
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