Piezoelectric modulus prediction using machine learning and graph neural networks

Author:

Hu Jeffrey,Song Yuqi

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Reference41 articles.

1. Detection of material interfaces using a regularized level set method in piezoelectric structures;Nanthakumar;Inverse Probl. Sci. Eng.,2016

2. An isogeometric analysis to identify the full flexoelectric complex material properties based on electrical impedance curve;Do;Comput. Struct.,2019

3. What Are Piezoelectric Materials? kernel description. https://sciencing.com/piezoelectric-materials-8251088.html. Accessed: 2010-09-30.

4. Tuplewise material representation based machine learning for accurate band gap prediction;Na;J. Phys. Chem. A,2020

5. Machine learning for predicting the band gaps of abx3 perovskites from elemental properties;Gladkikh;J. Phys. Chem. C,2020

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