反铁磁结构中的磁场控制相变

IF 1 Q4 OPTICS
V. I. Egorov, B. V. Kryzhanovsky
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引用次数: 0

摘要

研究了磁场作用下反铁磁物质的性质。用平均场近似得到了解析表达式。外磁场对反铁磁性物质的相变无破坏作用。它只是改变临界指数和移动临界点。这使我们能够控制系统的关键特性。临界点的数目可以从一个(二阶相变)到四个(两个一阶相变和两个二阶相变)不等。结果表明,在具有强反铁磁相互作用的材料中,磁场大小的变化可使临界温度提高3倍以上。对具有有限相互作用半径的三维晶格进行了蒙特卡罗模拟,证实了外场的作用会引起相变温度的变化。模拟结果与平均场理论的解析表达式吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Magnetic Field-Controlled Phase Transitions in Antiferromagnetic Structures

Magnetic Field-Controlled Phase Transitions in Antiferromagnetic Structures

The properties of an antiferromagnetic substance are investigated in the presence of a magnetic field. Analytical expressions are obtained in terms of the mean-field approximation. An external magnetic field is shown to be non-destructive to the phase transition in the antiferromagnetic substance. It only changes critical exponents and shifts the critical point. This allows us to control the critical properties of the system. The number of critical points can vary from one (the second-order phase transition) to four (two first-order phase transitions and two second-order phase transitions). It is shown that variations in the magnetic field magnitude can raise the critical temperature by three-odd times in materials with strong antiferromagnetic interactions. A Monte Carlo simulation carried out for a three-dimensional lattice with a finite interaction radius substantiates that the action of an external field brings about a shift in the temperature of the transition. The simulation results agree well with the analytical expressions of the mean field theory.

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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