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首页> 外文期刊>American journal of applied sciences >Ising Model for Conductive Percolation in Electrically Conductive Adhesives by Considering Random Arrangement of Conducting Particles
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Ising Model for Conductive Percolation in Electrically Conductive Adhesives by Considering Random Arrangement of Conducting Particles

机译:考虑导电粒子随机排列的导电胶中导电渗透的Ising模型

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Problem statement: Thermodynamically, particles in composites will arrange in a way such that the Helmholtz free energy is minimized. However, even a single structure has the lowest free energy, it should not ignore the probability of other structures having larger energies to occur, although at small chances. Approach: All possible arrangements of particles in the composites, therefore, must be taken into account in the theory or simulation development. Results: The composite energy depends on the interaction between components in the composites. To consider the effect of interactions on energy, in this study we used a simple Ising model incorporated with the Bragg-Williams approximation. We used the model to predict the average packing fraction and the percolation threshold in composites as well as other quantities related to percolation phenomenon. Conclusion/Recommendations: We found several predictions that have not been reported by previous authors. This model can be important in the understanding conductivity development in electrically conductive adhesive composites.
机译:问题陈述:在热力学上,复合材料中的颗粒将以使亥姆霍兹自由能最小化的方式排列。但是,即使单个结构具有最低的自由能,也不应忽略其他具有较大能量的结构发生的可能性,尽管机会很小。方法:因此,在理论或模拟开发中必须考虑到复合物中颗粒的所有可能排列。结果:复合材料的能量取决于复合材料中各组分之间的相互作用。为了考虑相互作用对能量的影响,在这项研究中,我们使用了与Bragg-Williams近似结合的简单Ising模型。我们使用该模型来预测复合材料中的平均堆积分数和渗透阈值,以及与渗透现象相关的其他数量。结论/建议:我们发现了以前的作者尚未报道的几个预测。该模型对于理解导电胶复合材料的导电性可能很重要。

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