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Updated: May 28, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid

Published on: September 20, 2017

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应用机器学习方法来估计某些固体药物的可溶性在超临界CO2中

Zahra Bahrami1, Fatemeh Bashipour2, Alireza Baghban3

  • 1Faculty of Petroleum and Chemical Engineering, Razi University, Kermanshah, 67149-67346, Iran.

Scientific reports
|February 12, 2025
PubMed
概括

人工智能模型准确地估计了在超临界二氧化碳 (SC-CO2) 中的固体药物溶解度. 适应性神经模糊推理系统 (ANFIS) 模型表现出卓越的性能,将分子重量确定为关键因素.

关键词:
安菲斯 (ANFIS) 是一个字母.人工智能建模的人工智能建模在GEP中,GEP是GEP.固体药物 固体药物可溶性 溶解度 溶解度 溶解度超临界的二氧化碳二氧化碳

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