Characterization of Two Novel NiTiHf Shape Memory Alloys Designed by Machine Learning Utilizing Novel Experimental Techniques
Crossref DOI link: https://doi.org/10.1007/s40830-025-00551-y
Published Online: 2025-07-10
Published Print: 2025-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Canadinc, D.
Breitbach, E. J.
Catal, A. A.
Text and Data Mining valid from 2025-07-10
Version of Record valid from 2025-07-10
Article History
Received: 20 March 2025
Revised: 22 May 2025
Accepted: 10 June 2025
First Online: 10 July 2025