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通过图表规范化的物流矩阵因子化对水溶液混合性的数据驱动推算

Diba Behnoudfar1, Cory M Simon1, Joshua Schrier2

  • 1School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, Oregon 97331, United States.

The journal of physical chemistry. B
|September 8, 2023
PubMed
概括

预测水性双相系统 (ATPS) 对分离至关重要. 这项研究引入了图形规律化的逻辑矩阵分解 (GR-LMF) 以使用不完整的实验数据准确预测溶液混合性,绕过溶液特征的需求.

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