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Phase growth of smart materials in a magnetic field

机译:智能材料在磁场中的相生长

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The field of smart materials research has grown dramatically during the last several years (see, for example, [1]) and emerged from the complex interactions of a number of different technical disciplines. The fields involved include materials design, sensing, actuation, artificial intelligence, adaptive control, complex adaptive systems, and others. Smart materials are multifunctional materials exploited in different fields of science and engineering. They feature a combination of sensors, actuators, and processors. Some of the perovskite ABO3 materials have recently attracted attention as very firm ceramics, as substances having very large electro-optic coefficients, and as materials applied in the development of integrated micromechanical transistor, memory, and optical devices [2-4]. Many properties of perovskites, such as dielectric constant, ageing, piezoelectric and electro-optic coefficients, are related to grain, interphase boundaries, domain structure and walls [5, 6]. The properties of ferroelectric ceramics may be affected by the nature of ferroelectric and ferroelastic domain boundaries, which appear as mechanical and/or transformation twins in these systems. The effect of composition, pressure and external fields in bulk perovskites has already been studied in many laboratories [5, 7-15]. However, the majority of the research has been carried out to study the static properties of ferro-electrics. At the same time, the sensitivity of the perovskite-based devices depends crucially on the kinetics of the phase transformations in these substances.
机译:在过去的几年中,智能材料研究领域得到了飞速发展(例如,参见[1]),并且它是由许多不同技术学科的复杂相互作用所产生的。涉及的领域包括材料设计,传感,驱动,人工智能,自适应控制,复杂的自适应系统等。智能材料是在科学和工程的不同领域中开发的多功能材料。它们具有传感器,执行器和处理器的组合。某些钙钛矿型ABO3材料作为非常坚固的陶瓷,具有非常大的电光系数的材料以及作为集成微机械晶体管,存储器和光学器件的开发中使用的材料而受到关注[2-4]。钙钛矿的许多特性,例如介电常数,时效,压电和电光系数,都与晶粒,相间边界,畴结构和壁有关[5,6]。铁电陶瓷的性能可能会受到铁电和铁弹性畴边界的影响,这些边界在这些系统中表现为机械孪晶和/或转变孪晶。许多实验室已经研究了钙钛矿块体中成分,压力和外部场的影响[5,7-15]。然而,大多数研究已经进行以研究铁电体的静态特性。同时,基于钙钛矿的设备的灵敏度主要取决于这些物质中相变的动力学。

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