大量Ti和Ti-6Al-4V合金的多相数据集
Connor S Allen1, Albert P Bartók2,3
1Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom.
Scientific data
|December 5, 2025
概括
这项研究为 (Ti) 和Ti-6Al-4V合金相位行为建模提供了必要的原子配置数据库. 这些数据库具有DFT计算的属性,可以为材料科学提供准确的机器学习原子间潜力 (MLIP).
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
- 物理化学 物理化学
背景情况:
- (Ti) 和其合金是具有复杂相位行为的关键工程材料.
- 对Ti及其合金进行精确的原子尺度建模需要广泛的原子配置数据库.
- 机器学习原子间潜力 (MLIP) 对于大规模,现实的模拟是必不可少的,但依赖于高质量的数据.
研究的目的:
- 为Ti和Ti-6Al-4V合金的各个阶段生成全面的原子配置数据库.
- 为了提供密度函数理论 (DFT),计算了这些配置的总能量,力和应力值.
- 开发和验证用于开发和评估MLIP模型的基准协议.
主要方法:
- 使用PBE功能计算DFT计算来评估Ti和Ti-6Al-4V配置的属性.
- 采用了使用非对角超级电池的数据减少策略,用于Ti的振动特性.
- 开发了用于快速开发和评估MLIP模型的基准协议.
主要成果:
- 创建了代表Ti的α,β,ω和液态相以及Ti-6Al-4V合金的数据库.
- 包括数据库内的DFT衍生总能量,力和应力值.
- 通过使用GAP和ACE框架调整模型来证明数据库和协议的实用性.
结论:
- 生成的数据库和验证工具有助于为Ti和Ti-6Al-4V开发准确的MLIP.
- 这些MLIP可以在各种热力学条件下可靠地模拟Ti及其合金的相位行为.
- 该研究为推进合金研究中的原子模拟提供了基础.
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