Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 12662 of 18303 found articles
 
 
  Prediction of low-modulus Ti-based refractory high-entropy alloys for orthopedic implants using machine learning and DFT calculations
 
 
Title: Prediction of low-modulus Ti-based refractory high-entropy alloys for orthopedic implants using machine learning and DFT calculations
Author: Ahmed, Ishfaq
Nan, Qu
Akhtar, Waqas
Mubashir, Shanza
Yang, Danni
Yong, Liu
Jingchuan, Zhu
Appeared in: Physica. B, Condensed matter
Paging: Volume 715 () nr. C pages p.
Year: 2025
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 12662 of 18303 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands