论文标题

表面能驱动谷物生长模型:FEPT L10纳米颗粒

Surface Energy Driven Grain Growth Model: FePt L10 Nanoparticles

论文作者

Skelland, Connor, Hrkac, Gino

论文摘要

我们开发了一个基于表面相对于体积能量和谷物环境的能量最小化的谷物生长模型。我们使用了众所周知的fept l1 $ _ \ text {0} $系统来发现驱动Fept Grains形状和大小的物理因素。发现首选的生长方向是沿对称平面,由基本晶体确定并由表面能最小化驱动。这里开发的模型可用于预测晶粒的生长和形状,这是原子数和组成的函数。这意味着,通过定制晶粒的表面和晶粒边界,可以操纵磁性晶粒的形状。

We developed a grain growth model that is based on the energy minimisation of surfaces with respect to the volume energy and the grain's environment. We used the well-known FePt L1$_\text{0}$ system to discover the physical factors that drive the shape and size of FePt grains. It was found that the preferred growth directions are along symmetry planes that are determined by the basic crystal and driven by surface energy minimisation. The model developed here can be used to predict a grain's growth and shape as a function of atomic number and composition. This means that by tailoring a grain's surface and grain boundaries the shape of the magnetic grains can be manipulated.

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