Predicting oxidation damage of ultra high-temperature carbide ceramics in extreme environments using machine learning Article

Bianco, Giuseppe, Nisar, Ambreen, Zhang, Cheng et al. (2023). Predicting oxidation damage of ultra high-temperature carbide ceramics in extreme environments using machine learning . CERAMICS INTERNATIONAL, 49(12), 19974-19981. 10.1016/j.ceramint.2023.03.119

cited authors

  • Bianco, Giuseppe; Nisar, Ambreen; Zhang, Cheng; Boesl, Benjamin; Agarwal, Arvind

authors

publication date

  • June 15, 2023

published in

keywords

  • BEHAVIOR
  • COMPOSITES
  • Carbides
  • DIBORIDE-SILICON CARBIDE
  • HAFNIUM CARBIDE
  • HFC
  • MICROSTRUCTURAL CHARACTERIZATION
  • Machine learning
  • Materials Science
  • Materials Science, Ceramics
  • Oxidation
  • Regression
  • Science & Technology
  • TACX
  • Technology
  • Ultra high -temperature ceramics (UHTCs)

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

start page

  • 19974

end page

  • 19981

volume

  • 49

issue

  • 12