Predicting and optimizing coupling effect in magnetoelectric multi-phase composites based on machine learning algorithm

Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization

(2020) Yuhao Wang et al.   ACTA MATERIALIA

Machine learning assisted design of high entropy alloys with desired property

(2019) Cheng Wen et al.   ACTA MATERIALIA

Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel

(2019) Chunguang Shen et al.   ACTA MATERIALIA

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

(2019) Khader M. Hamdia et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

Thermal Driven Giant Spin Dynamics at Three-Dimensional Heteroepitaxial Interface in Ni0.5Zn0.5Fe2O4/BaTiO3-Pillar Nanocomposites

(2018) Guohua Dong et al.   ACS Nano

Material structure-property linkages using three-dimensional convolutional neural networks

(2018) Ahmet Cecen et al.   ACTA MATERIALIA

Advanced Steel Microstructural Classification by Deep Learning Methods

(2018) Seyed Majid Azimi et al.   Scientific Reports

Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials

(2017) Austin D. Sendek et al.   Energy & Environmental Science

Ferromagnetic, ferroelectric and magnetoelectric properties of (001)-oriented Pb(Zr 0.52 Ti 0.48 )O 3 /La 0.67 Sr 0.33 MnO 3 composite films deposited on Si substrates using chemical solution deposition

(2017) Zongfan Duan et al.   JOURNAL OF ALLOYS AND COMPOUNDS

A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks

(2017) Seiji Kajita et al.   Scientific Reports

Magnetostatic Interactions in Self-Assembled CoxNi1–xFe2O4/BiFeO3 Multiferroic Nanocomposites

(2016) Shuchi Ojha et al.   ACS Nano

Data-driven computational mechanics

(2016) T. Kirchdoerfer et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A general-purpose machine learning framework for predicting properties of inorganic materials

(2016) Logan Ward et al.   npj Computational Materials

Magneto-electric coupling study in multiferroic La0.7Ba0.3MnO3–BaTiO3 composite ceramic at room temperature

(2015) Ling Zhou et al.   CERAMICS INTERNATIONAL

Machine-Learning-Augmented Chemisorption Model for CO2 Electroreduction Catalyst Screening

(2015) Xianfeng Ma et al.   Journal of Physical Chemistry Letters

Multiferroic Polymer Laminate Composites Exhibiting High Magnetoelectric Response Induced by Hydrogen-Bonding Interactions

(2013) Jiezhu Jin et al.   ADVANCED FUNCTIONAL MATERIALS

Enhanced sensitivity to direct current magnetic field changes in Metglas/Pb(Mg1/3Nb2/3)O3–PbTiO3 laminates

(2011) Junqi Gao et al.   JOURNAL OF APPLIED PHYSICS

Damage detection in initially nonlinear systems

(2010) Luke Bornn et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Present status of theoretical modeling the magnetoelectric effect in magnetostrictive-piezoelectric nanostructures. Part I: Low frequency and electromechanical resonance ranges

(2010) M. I. Bichurin et al.   JOURNAL OF APPLIED PHYSICS

Verified finite element simulation of multiferroic structures: Solutions for conducting and insulating systems

(2008) John F. Blackburn et al.   JOURNAL OF APPLIED PHYSICS

Magnetoelectric Laminate Composites: An Overview

(2008) Junyi Zhai et al.   JOURNAL OF THE AMERICAN CERAMIC SOCIETY

A survey of robot learning from demonstration

(2008) Brenna D. Argall et al.   ROBOTICS AND AUTONOMOUS SYSTEMS