格子动态的MACE基础模型:对双化物矿的基准研究
Jack Yang1, Ziqi Yin1, Lei Ao1,2,3
1School of Material Science and Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia. jianliang.yang1@unsw.edu.au.
Physical chemistry chemical physics : PCCP
|February 5, 2026
概括
像MACE这样的基础模型对预测无机固体稳定性显示出希望. 性能随着更多数据的增加而提高,但对于高度不和的材料,精度会下降,这突出了未来以物理为灵感的模型开发的领域.
科学领域:
- 材料 信息学 信息学
- 计算材料科学科学 计算材料科学
- 化学中的人工智能.
背景情况:
- 基础模型,如MACE,代表了无机固体普遍潜力的突破.
- 对比计算方法对于理解模型的局限性和推动理论进步至关重要.
研究的目的:
- 为了对MACE基础模型进行基准测试,以选无机固体的动态稳定性.
- 通过使用化物双矿的DFT数据库来评估模型性能.
主要方法:
- 利用DFT数据库的室温动态稳定性和振动不和性对2000立方化物双矿石.
- 为了预测动态稳定性,对四个MACE基础模型变体进行了基准测试.
- 分析错误来源,包括原子力错误和配置空间采样.
主要成果:
- 模型准确性与增加的训练数据正相关.
- 与高度不和材料相比,MACE模型更准确地预测了弱不和材料的动态稳定性.
- 在赫斯矩阵计算过程中,原子力中的误差放大是不准确性的主要来源.
结论:
- MACE基础模型显示了材料选的潜力,但对于复杂的系统需要进一步精细化.
- 需要以物理为灵感的方法来提高原子模型中的基础模型的准确性和可靠性.
- 结果指导未来的发展向更强大和更准确的普遍潜力.
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