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Updated: Jul 17, 2025

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
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使用克拉梅尔斯-·米塞斯距离的动力蒙特卡洛模拟的高效全球灵敏度分析

Sina Dortaj1,2, Sebastian Matera1,2

  • 1Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany.

The Journal of chemical physics
|September 6, 2023
PubMed
概括

这项研究引入了一种使用克拉梅尔斯-·米塞斯距离的新型全球灵敏度分析 (GSA) 方法. 它有效量化模拟中的参数不确定性影响,即使对于复杂的模型.

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