Atomate2:用于材料科学的模块化工作流程
Alex M Ganose1, Hrushikesh Sahasrabuddhe2,3, Mark Asta2,4
1Department of Chemistry, Imperial College London London W12 0BZ UK a.ganose@imperial.ac.uk.
概括
Atomate2是高通量计算材料科学的新框架. 它增强了密度函数理论 (DFT) 计算和机器学习力场的灵活性和互操作性.
科学领域:
- 计算材料科学科学 计算材料科学
- 材料 信息学 信息学
- 高通量计算科学 高通量计算科学
背景情况:
- 密度函数理论 (DFT) 的计算对于材料选和属性预测至关重要.
- 现有的软件框架面临着机器学习力场等新兴方法的局限性.
- 在计算材料研究中需要更灵活和可编程的工作流解决方案.
研究的目的:
- 介绍 atomate2,一个先进的计算材料科学框架.
- 解决当前高通量计算基础设施的局限性.
- 提高新兴研究方法的可用性和可扩展性.
主要方法:
- 原子2的发展,原始原子框架的演变.
- 实施支持多个电子结构包和互操作性.
- 创建独立于特定DFT包或机器学习力场的可通用工作流.
主要成果:
- Atomate2为计算工作流提供了更高的灵活性和可编程性.
- 支持不同电子结构包之间的互操作性.
- 允许创建抽象的工作流,可适应各种计算后端.
结论:
- 在高通量材料研究中,Atomate2减少了技术障碍.
- 有助于快速采用新的计算方法.
- 促进计算材料科学的更广泛的可访问性和效率.
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