[HTML][HTML] Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field design and machine learning

Y Zhu, T Xu, Q Wei, J Mai, H Yang, H Zhang… - npj Computational …, 2021 - nature.com
The optimal design of shape memory alloys (SMAs) with specific properties is crucial for the
innovative application in advanced technologies. Herein, inspired by the recently proposed …

Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field design and machine learning.

Y Zhu, T Xu, Q Wei, J Mai, H Yang… - NPJ Computational …, 2021 - search.ebscohost.com
The optimal design of shape memory alloys (SMAs) with specific properties is crucial for the
innovative application in advanced technologies. Herein, inspired by the recently proposed …

Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field design and machine learning

Z Yuquan, T Xu, Q Wei, M Jiawei… - NPJ Computational …, 2021 - search.proquest.com
The optimal design of shape memory alloys (SMAs) with specific properties is crucial for the
innovative application in advanced technologies. Herein, inspired by the recently proposed …

Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field design and machine learning

Y Zhu, T Xu, Q Wei, J Mai, H Yang, H Zhang… - npj Computational …, 2021 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> The optimal design of shape memory alloys
(SMAs) with specific properties is crucial for the innovative application in advanced …

Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field design and machine learning

Y Zhu, T Xu, Q Wei, J Mai, H Yang… - npj Computational …, 2021 - ui.adsabs.harvard.edu
The optimal design of shape memory alloys (SMAs) with specific properties is crucial for the
innovative application in advanced technologies. Herein, inspired by the recently proposed …