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Predicting the Temperature-Dependent Tensile Properties of Polyphenylsulfone using a Machine Learning Approach

Author(s):
Medium: journal article
Language(s): English
Published in: Composite Structures, , v. 313
Page(s): 116920
DOI: 10.1016/j.compstruct.2023.116920
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.compstruct.2023.116920.
  • About this
    data sheet
  • Reference-ID
    10714167
  • Published on:
    21/03/2023
  • Last updated on:
    01/04/2023
 
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