Datasets of narrow thermal hysteresis behaviour Ti-Ni-based HT-SMAs and the predicted accumulated local effects

This article refers to data derived from a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1]. It is based on the knowledge that alloying Ti-Ni-based shape memory alloys (SMAs) with additional ternary or multicomponent elements...

Descripción completa

Detalles Bibliográficos
Autores principales: Machaka, Ronald, Radingoana, Precious M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630592/
https://www.ncbi.nlm.nih.gov/pubmed/38020442
http://dx.doi.org/10.1016/j.dib.2023.109654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630592/
https://www.ncbi.nlm.nih.gov/pubmed/38020442
http://dx.doi.org/10.1016/j.dib.2023.109654

Ejemplares similares