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Updated: May 11, 2025

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
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一个数据驱动的微乳液阶段的可预测粘度模型

Akash Talapatra1, Bahareh Nojabaei2, Pooya Khodaparast3

  • 1Virginia Tech, Blacksburg, VA, USA. takash@vt.edu.

Scientific reports
|April 18, 2025
PubMed
概括

本研究引入了一个基于数据的模型,用于预测储条件下的微乳液相位粘度. 支持向量回归 (SVR) 准确地估计粘度,提高了石油回收效率.

关键词:
化学洪水 - 化学洪水机器学习 机器学习微乳液粘度 微乳液粘度 微乳液粘度分子动力学模拟模型透值是一个透值.

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