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SECTION A: THEORIES, MODELING, DOMAINS, PHASE TRANSITIONS AND CRITICAL PHENOMENA

Modeling of Ferroelectric Hysteresis Area of Hard Lead Zirconate Titanate Ceramics: Artificial Neural Network Approach

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Pages 233-238 | Received 23 Aug 2009, Published online: 01 Dec 2010

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Wimalin Laosiritaworn, Rattikorn Yimnirun & Yongyut Laosiritaworn. (2015) The Knowledge-Based Modeling of Ferroelectric Hysteresis Area: An Application to Forming (1-x)PZT-(x)PZN Hysteresis Database. Integrated Ferroelectrics 166:1, pages 65-73.
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Articles from other publishers (3)

Yongyut Laosiritaworn & Wimalin Laosiritaworn. (2014) Concurrent Modeling of Magnetic Field Parameters, Crystalline Structures, and Ferromagnetic Dynamic Critical Behavior Relationships: Mean-Field and Artificial Neural Network Projections. Journal of Magnetics 19:4, pages 315-322.
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Wimalin Laosiritaworn & Yongyut Laosiritaworn. (2013) Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis. Polyhedron 66, pages 108-115.
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Wimalin Laosiritaworn, Kanokwan Kanchiang & Yongyut Laosiritaworn. (2013) The Artificial Neural Network Modeling of Dynamic Hysteresis Phase Diagram: Application on Mean-Field Ising Hysteresis. Advanced Materials Research 813, pages 16-19.
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