Flexoelectricity in solids: Progress, challenges, and perspectives

B Wang, Y Gu, S Zhang, LQ Chen - Progress in Materials Science, 2019 - Elsevier
The flexoelectricity describes the contribution of the linear couplings between the electric
polarization and strain gradient and between polarization gradient and strain to the …

Flexoelectric materials and their related applications: A focused review

L Shu, R Liang, Z Rao, L Fei, S Ke, Y Wang - Journal of Advanced …, 2019 - Springer
Flexoelectricity refers to the mechanical-electro coupling between strain gradient and
electric polarization, and conversely, the electro-mechanical coupling between electric field …

Machine learning for advanced additive manufacturing

Z **, Z Zhang, K Demir, GX Gu - Matter, 2020 - cell.com
Increasing demand for the fabrication of components with complex designs has spurred a
revolution in manufacturing methods. Additive manufacturing stands out as a promising …

An intensify Harris Hawks optimizer for numerical and engineering optimization problems

VK Kamboj, A Nandi, A Bhadoria, S Sehgal - Applied Soft Computing, 2020 - Elsevier
Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding
optimum solution in search space. However, it easily get trapped into local search space for …

[HTML][HTML] Free vibration and buckling analyses of magneto-electro-elastic FGM nanoplates based on nonlocal modified higher-order sinusoidal shear deformation …

KK Żur, M Arefi, J Kim, JN Reddy - Composites Part B: Engineering, 2020 - Elsevier
In this study, the free vibration and buckling responses of functionally graded nanoplates
with magneto-electro-elastic coupling are studied for the first time using a nonlocal modified …

Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis

S Khatir, MA Wahab, D Boutchicha, T Khatir - Journal of Sound and …, 2019 - Elsevier
This paper proposes a two-stage approach for damage assessment in beam-like structures
using two-dimensional Isogeometric Analysis (IGA) and Finite Element Method (FEM) …

Deep reinforcement learning for digital materials design

F Sui, R Guo, Z Zhang, GX Gu, L Lin - ACS Materials Letters, 2021 - ACS Publications
Designing composites has been a research topic of interest in the field of materials science.
As an elegant mathematical representation for composites, the concept of digital materials …

Sensitivity and uncertainty analysis for flexoelectric nanostructures

KM Hamdia, H Ghasemi, X Zhuang, N Alajlan… - Computer Methods in …, 2018 - Elsevier
In this paper, sensitivity analysis has been applied to identify the key input parameters
influencing the energy conversion factor (ECF) of flexoelectric materials. The governing …

Impact of parametric variation to achieve extreme mechanical metamaterials through topology optimization

S Saurabh, A Gupta, R Chowdhury - Composite Structures, 2023 - Elsevier
Metamaterials are manufactured structures having extreme properties which do not exist in
nature. Topology optimization (TO) provides an excellent alternative to the intuition-based …

Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm

S Tiachacht, A Bouazzouni, S Khatir, MA Wahab… - Engineering …, 2018 - Elsevier
This paper presents a new methodology for damage identification and quantification in two-
and three-dimensional structures. The application of the proposed methodology is …