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Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps

Author(s):



Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 265
Page(s): 120647
DOI: 10.1016/j.conbuildmat.2020.120647
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.conbuildmat.2020.120647.
  • About this
    data sheet
  • Reference-ID
    10433717
  • Published on:
    11/09/2020
  • Last updated on:
    11/09/2020
 
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