A novel deep learning based method for the computational material design of flexoelectric nanostructures with topology optimization-Reference-Cited by-同舟云学术

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A novel deep learning based method for the computational material design of flexoelectric nanostructures with topology optimization

Published:2019-11 Issue: Volume:165 Page:21-30
ISSN:0168-874X
Container-title:Finite Elements in Analysis and Design
language:en
Short-container-title:Finite Elements in Analysis and Design

Author:

Hamdia Khader M.,Ghasemi Hamid,Bazi Yakoub,AlHichri Haikel,Alajlan Naif,Rabczuk Timon

Funder

King Saud University

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Engineering,Analysis

Reference55 articles.

1. Fundamentals of flexoelectricity in solids;Yudin;Nanotechnology,2013

2. Flexoelectricity: a perspective on an unusual electromechanical coupling;Krichen;J. Appl. Mech.,2016

3. Nanoscale flexoelectricity;Nguyen;Adv. Mater.,2013

4. Flexoelectric effect in solids;Zubko;Annu. Rev. Mater. Res.,2013

5. Constructive and destructive interplay between piezoelectricity and flexoelectricity in flexural sensors and actuators;Abdollahi;J. Appl. Mech.,2015

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