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Introduction to MATLAB01:24

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  3. 使用kadi4mat进行多物理多尺度模拟工作流程和数据管理的ml可扩展框架.
  1. 首页
  3. 使用kadi4mat进行多物理多尺度模拟工作流程和数据管理的ml可扩展框架.

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使用Kadi4Mat进行多物理多尺度模拟工作流程和数据管理的ML可扩展框架.

Somnath Bharech1, Yangyiwei Yang2, Michael Selzer3

  • 1Division Mechanics of Functional Materials, Institute of Materials Science, Technical University Darmstadt, Otto-Berndt-Strasse 3, Darmstadt, 64287, Germany.

Scientific data
|June 9, 2025

在PubMed 上查看摘要

概括
此摘要是机器生成的。

本研究介绍了一种研究工作流程和数据管理 (RWDM) 框架,用于组织材料科学数据. 该框架增强了用于模拟的数据驱动设计和分析,特别是在增材制造中.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算科学 计算科学
  • 数据管理数据管理

背景情况:

  • 材料建模和模拟对于理解跨尺度的材料行为至关重要.
  • 有效的数据管理和元数据对于数据驱动的材料设计至关重要.
  • 当前的方法往往难以管理复杂的模拟工作流程和大型数据集.

研究的目的:

  • 提出研究工作流程和数据管理 (RWDM) 框架.
  • 按照FAIR原则管理复杂的工作流程和研究数据.
  • 通过使用增材制造的多物理多尺度模拟来展示框架.

主要方法:

  • 开发了一个RWDM框架,与开源研究数据基础架构Kadi4Mat集成.
  • 在标准化Kadi4Mat记录中精选模拟输入/输出数据,设置和脚本.
  • 相互关联的记录形成了基于本体学的知识图,并实施了自动化方案.

主要成果:

  • 成功管理复杂的多物理多尺度模拟数据用于增材制造.
  • 创建了模拟工作流程和相关数据的标准化,相互关联的记录.
  • 展示了用于高通量模拟和后处理的自动化方案.

结论:

  • 拟议的RWDM框架有效地管理复杂的模拟工作流程和研究数据.
  • 该框架支持FAIR数据原则,并促进基于数据的分析.
  • 与Kadi4Mat的整合和知识图的创建提高了研究的可复制性和可发现性.