For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
0
views
45
references
 Top references
cited by
17
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      3,465
      similar
       All similar
      • Record: found
      • Abstract: not found
      • Article: not found

      Prediction of the Composition and Hardness of High-Entropy Alloys by Machine Learning

      Author(s): , , ,
      Publication date (Electronic):
      Journal: JOM
      Publisher: Springer Science and Business Media LLC

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: not found
          • Article: not found

          Nanostructured High-Entropy Alloys with Multiple Principal Elements: Novel Alloy Design Concepts and Outcomes

          J.-W. Yeh, S.-K. Chen, S-J Lin … (2004)
          Article 0 comments Cited 1114 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A critical review of high entropy alloys and related concepts

            D.B. Miracle, O.N. Senkov (2017)
            Article 0 comments Cited 904 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Microstructural development in equiatomic multicomponent alloys

              B. Cantor, I.T.H. Chang, P. Knight … (2004)
              Article 0 comments Cited 738 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Journal
                Title: JOM
                Abbreviated Title: JOM
                Publisher: Springer Science and Business Media LLC
                ISSN (Print): 1047-4838
                ISSN (Electronic): 1543-1851
                Publication date Created: October 2019
                Publication date (Electronic): July 30 2019
                Publication date (Print): October 2019
                Volume: 71
                Issue: 10
                Pages: 3433-3442
                Article
                DOI: 10.1007/s11837-019-03704-4
                SO-VID: b1f74bfc-dc5d-4233-a7ef-ff8115c89ad6
                Copyright © © 2019
                License:

                http://www.springer.com/tdm

                http://www.springer.com/tdm

                History

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content3,465

                See all similar

                Cited by17

                See all cited by

                Most referenced authors432

                See all reference authors