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Saturation magnetization prediction method and saturation magnetization prediction simulation program

机译:饱和磁化预测方法和饱和磁化预测仿真程序

摘要

PROBLEM TO BE SOLVED: To provide a saturation magnetization prediction method and a saturation magnetization prediction simulation program capable of easily calculating the saturation magnetization of a single-phase magnetic phase at a finite temperature. SOLUTION: By substituting actual measurement data of saturation magnetization at a finite temperature into Kuzmin's equation, the saturation magnetization at absolute zero and the Curie temperature are calculated at the first step 10 and the absolute zero calculated in the first step 10. The saturation magnetization and Curie temperature of No. 1 and the saturation magnetization and Curie temperature at absolute zero calculated by the first-principles calculation are assimilated into data, and the single-phase magnetic phase is obtained for each of the saturation magnetization and Curie temperature at absolute zero. Saturation at a finite temperature by applying the prediction model formula expressed by the function of the abundance ratio of the constituent elements to the Kuzmin formula in the second step 20 for deriving the prediction model formula expressed by the function of the abundance ratio of the constituent elements by machine learning and the prediction model formula created in the second step 20. A saturation magnetization prediction method 50 and a saturation magnetization prediction simulation program 60, which include a third step 30 of calculating the magnetization. [Selection diagram] Fig. 1
机译:要解决的问题:提供饱和磁化预测方法和饱和磁化预测模拟程序,其能够在有限温度下容易地计算单相磁相的饱和磁化。解决方案:通过将饱和磁化的实际测量数据替换为Kuzmin等式,在第一步骤10中计算绝对零和居里温度的饱和磁化,并在第一步骤10中计算。饱和磁化强度和通过第一原理计算计算的No.1和饱和磁化和静电温度下的饱和磁化和静电温度被同化为数据,并且对于绝对零的每个饱和磁化和居里温度获得单相磁相。通过将组成元素的丰度比率的函数与第二步骤20中的kuzmin公式的函数施加到第二步骤20中的kuzmin公式表示的预测模型公式来饱和,用于导出由构成元件的丰度比的函数表达的预测模型公式通过机器学习和在第二步骤20中产生的预测模型公式。饱和磁化预测方法50和饱和磁化预测模拟程序60,其包括计算磁化的第三步骤30。 [选择图]图1

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