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For: Lenzen N, Altay O. Machine Learning Enhanced Dynamic Response Modelling of Superelastic Shape Memory Alloy Wires. Materials (Basel) 2022;15:ma15010304. [PMID: 35009449 PMCID: PMC8746169 DOI: 10.3390/ma15010304] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/21/2021] [Accepted: 12/27/2021] [Indexed: 02/04/2023]
Number Cited by Other Article(s)
1
Fang C, Qiu C, Zheng Y. Shape Memory Alloys for Civil Engineering. MATERIALS (BASEL, SWITZERLAND) 2023;16:787. [PMID: 36676523 PMCID: PMC9861197 DOI: 10.3390/ma16020787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 06/17/2023]
2
Nair VS, Nachimuthu R. The role of NiTi shape memory alloys in quality of life improvement through medical advancements: A comprehensive review. Proc Inst Mech Eng H 2022;236:923-950. [PMID: 35486134 DOI: 10.1177/09544119221093460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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