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Updated: Jul 14, 2025

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
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Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

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使用科尔莫戈罗夫-斯米尔诺夫指标函数改进库普曼运算符的估计

Van A Ngo1, Yen Ting Lin2, Danny Perez3

  • 1Advanced Computing for Life Sciences and Engineering, Computing and Computational Sciences, National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.

Journal of chemical theory and computation
|October 6, 2023
PubMed
概括

本研究引入了一种使用隐藏马尔科夫模型 (HMM) 的新聚类方法,以找到最佳的可观测值,用于用库普曼运算符进行动力分析. 这种方法改善了复杂系统中动态模式和时间尺度的估计.

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In vivo Quantification of G Protein Coupled Receptor Interactions using Spectrally Resolved Two-photon Microscopy14:26

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