一个一般化的固体溶液框架,用于吉布斯自由能量计算
Yang Huang1,2,3, Jingrun Chen2,3,4
1School of Artificial Intelligence and Data Science, University of Science and Technology of China, Hefei 230026, China.
Journal of chemical theory and computation
|September 17, 2025
概括
本研究介绍了一种使用图形神经网络来计算合金的吉布斯自由能量的一般化固体溶液模型. 该模型准确地预测了Mo-Nb-Ta-W等复杂系统的相位过渡和图表.
科学领域:
- 材料科学 材料科学 材料科学
- 计算材料科学科学 计算材料科学
- 热力学是一种热力学.
背景情况:
- 计算配置的吉布斯自由能量对于预测合金行为至关重要.
- 像集群扩张这样的现有方法在适用性和准确性方面存在局限性.
研究的目的:
- 开发一个通用的固体溶液模型,用于准确的吉布斯自由能量计算.
- 统一现有方法,使其在晶体结构中广泛适用.
主要方法:
- 使用基于晶体图的现场能源方法与线性图神经网络.
- 纳入平均场理论的分数占用和理想的混合.
- 实施软max转换,梯度投影和复规化用于组合控制.
主要成果:
- 在Mo-Nb-Ta-W系统中获得了1.24 meV的平均绝对误差 (MAE).
- 准确预测二元合金的相位过渡温度和类型 (分离,顺序-失序).
- 成功预测了三元相图,并确定了凸船体下方的稳定配置.
结论:
- 一般化固体溶液模型为热力学计算提供了一种统一且广泛适用的方法.
- 该模型对复杂的合金系统具有很高的预测准确性.
- 这种方法推进了预测相位图和材料在有限温度下的行为.
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