Optimizing a machine learning design of dielectric properties in lead-free piezoelectric ceramics-Reference-Cited by-同舟云学术

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Optimizing a machine learning design of dielectric properties in lead-free piezoelectric ceramics

Published:2024-07 Issue: Volume:243 Page:113053
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Rocha Helder R.O.,Roukos Roy,Abou Dargham Sara^ORCID,Romanos Jimmy^ORCID,Chaumont Denis,Silva Jair A.L.,Wörtche Heinrich

Publisher

Elsevier BV

Reference36 articles.

1. Prediction of the Curie temperatures of ferroelectric solid solutions using machine learning methods;Askanazi;Comput. Mater. Sci.,2021

2. A classical mechanics model for the interpretation of piezoelectric property data;Bell;J. Appl. Phys.,2015

3. Random forests;Breiman;Mach. Learn.,2001

4. Minimum Manhattan distance approach to multiple criteria decision making in multiobjective optimization problems;Chiu;IEEE Trans. Evol. Comput.,2016

5. Ceramics and civilisation: history of ferroelectrics;Cross;J. Am. Ceram. Soc.,1987

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