Modeling of Ferroelectric Hysteresis Area of Hard Lead Zirconate Titanate Ceramics: Artificial Neural Network Approach
Author:
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Link
http://www.tandfonline.com/doi/pdf/10.1080/00150191003677064
Reference12 articles.
1. Dynamic ferroelectric hysteresis scaling of BaTiO3 single crystals
2. Scaling behavior of dynamic hysteresis in soft lead zirconate titanate bulk ceramics
3. Power-law scaling of sub-coercive field dynamic hysteresis response in 0.7Pb(Zr1/2Ti1/2)O3–0.3Pb(Zn1/3Nb2/3)O3ceramic
4. Dynamic hysteresis and scaling behavior of hard lead zirconate titanate bulk ceramics
5. Temperature scaling of dynamic hysteresis in soft lead zirconate titanate bulk ceramic
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1. The Knowledge-Based Modeling of Ferroelectric Hysteresis Area: An Application to Forming (1-x)PZT-(x)PZN Hysteresis Database;Integrated Ferroelectrics;2015-10-13
2. Concurrent Modeling of Magnetic Field Parameters, Crystalline Structures, and Ferromagnetic Dynamic Critical Behavior Relationships: Mean-Field and Artificial Neural Network Projections;Journal of Magnetics;2014-12-31
3. Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis;Polyhedron;2013-12
4. The Artificial Neural Network Modeling of Dynamic Hysteresis Phase Diagram: Application on Mean-Field Ising Hysteresis;Advanced Materials Research;2013-09
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