Data-driven high elastocaloric NiMn-based shape memory alloy optimization with machine learning-Reference-Cited by-同舟云学术

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Data-driven high elastocaloric NiMn-based shape memory alloy optimization with machine learning

Published:2024-09 Issue: Volume:371 Page:136948
ISSN:0167-577X
Container-title:Materials Letters
language:en
Short-container-title:Materials Letters

Author:

Yang Yuxi^ORCID,Fu Haoyang,Gao Weihong,Su Wenlong,Sun Bin,Yi Xiaoyang,Zheng Ting,Meng Xianglong

Publisher

Elsevier BV

Reference8 articles.

1. Large elastocaloric effect at small transformation strain in Ni45Mn44Sn11 metamagnetic shape memory alloys;Sun;Scr. Mater.,2016

2. Simultaneously achieved large reversible elastocaloric and magnetocaloric effects and their coupling in a magnetic shape memory alloy;Qu;Acta Mater.,2018

3. An 8K elastocaloric temperature change induced by 1.3% transformation strain in Ni44Mn45−xSn11Cux alloys;Li;Scr. Mater.,2017

4. The effect of Tb substitution for Ni on microstructure, martensitic transformation and cyclic stability of elastocaloric effect in Ni–Mn–Sn magnetic shape memory alloys;Gui;J. Mater. Res. Technol.,2022

5. Giant low-field actuated caloric effects in a textured Ni43Mn47Sn10 alloy;Zhang;Scr. Mater.,2021

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