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Jin H. Huang

Researcher at Feng Chia University

Publications -  97
Citations -  2794

Jin H. Huang is an academic researcher from Feng Chia University. The author has contributed to research in topics: Piezoelectricity & Transverse isotropy. The author has an hindex of 22, co-authored 97 publications receiving 2625 citations. Previous affiliations of Jin H. Huang include Northwestern University.

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The analysis of piezoelectric/piezomagnetic composite materials containing ellipsoidal inclusions

TL;DR: In this paper, a unified method based on the inclusion formulation is proposed to determine the magnetic, electric, and elastic fields in a composite with piezoelectric and piezomagnetic phases.
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Analytical predictions for the magnetoelectric coupling in piezomagnetic materials reinforced by piezoelectric ellipsoidal inclusions

TL;DR: In this paper, a number of problems of fundamental importance in a piezoelectric-piezomagnetic composite material are solved, ranging from the derivation of the analytical expressions for the magneto-electro-elastic Eshelby tensors to the analysis of the magnetoelectoric coupling effect.
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Closed-form solutions for the magnetoelectric coupling coefficients in fibrous composites with piezoelectric and piezomagnetic phases

TL;DR: In this article, an analytical method was presented to investigate the magnetoelectric coupling effect that is a new product property of piezolectric-piezomagnetic intelligent composites since it is not present in each constituent.
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Calculations of giant magnetoelectric effects in ferroic composites of rare-earth–iron alloys and ferroelectric polymers

TL;DR: In this article, coupled magnetic-mechanical-electric effects involving linearly and nonlinearly coupling interactions in ferroic composites are investigated using a Green's function technique.
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Detection of cracks using neural networks and computational mechanics

TL;DR: In this paper, an inverse analysis method is proposed to simulate the A-scan ultrasonic nondestructive testing by means of back-propagation neural networks and computational mechanics.