Modeling of electrical conductivity of graphene-based polymer nanocomposites: calculation from the first principles

С. Tovstyuk
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Abstract

The use of nanocomposite materials has led to progress in the creation of new electronic devices (minitransistors, sensors, micro-drives, which are used to build artificial muscles, and supercapacitors. Nanocomposites occupy a special place with magnetosensitive fillers, particularly successfully used in medicine. Nanocomposites are also used for a protective coating. Depending on the operational functions, achieving a specific conductivity value and its change with temperature is necessary for such a coating. In the work, a conductivity model of polymer nanocomposites based on graphene (Gr/PS) was obtained using experimental data. The largest relative deviation between the conductivity surface and experimental data does not exceed 9.5%. The expression was obtained for the graphene concentration 1 < C(Gr) < 30 wt % and the temperature range 20 < T < 100 °C. The dependence of the specific electrical conductivity on the filler concentration and temperature obtained in the work will allow the researchers to select a nanocomposite with the required conductivity and evaluate the temperature effects on it for the conditions to which the material will be exposed.
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石墨烯基聚合物纳米复合材料的电导率建模:从第一性原理计算
纳米复合材料的使用使得新型电子器件(微型晶体管、传感器、用于制造人造肌肉的微型驱动器和超级电容器)的制造取得了进展。纳米复合材料在磁敏填料中占有特殊的地位,特别是在医学上的成功应用。纳米复合材料也用于保护涂层。根据操作功能,实现特定的电导率值及其随温度的变化对于这种涂层是必要的。利用实验数据,建立了基于石墨烯(Gr/PS)的聚合物纳米复合材料的电导率模型。电导率表面与实验数据的最大相对偏差不超过9.5%。当石墨烯浓度为1 < C(Gr) < 30 wt %,温度范围为20 < T < 100℃时,得到表达式。在工作中获得的填料浓度和温度对比电导率的依赖性将使研究人员能够选择具有所需电导率的纳米复合材料,并评估材料暴露条件下的温度对其的影响。
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