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Herausgeber: 
  • Gang Zhang
  • Yuan Cheng
  • Tian Wang
  • Artificial Intelligence for Materials Science 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  März 2022  
    Genre:  Naturwissensch., Medizin, Technik 
     
    machinelearning / Materialdesign / Materialsgenomeinitiatives / MaterialsInformatics / Materialsoptimization / Materialwissenschaft / rechargeableionbattery / renewableenergymaterials
    ISBN:  9783030683122 
    EAN-Code: 
    9783030683122 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 13 mm 
    Gewicht:  365 gr 
    Seiten:  236 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

      



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