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Updated: Jan 11, 2026

Achieving Moderate Pressures in Sealed Vessels Using Dry Ice As a Solid CO2 Source
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Achieving Moderate Pressures in Sealed Vessels Using Dry Ice As a Solid CO2 Source

Published on: August 17, 2018

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用机器学习和优化器对压力和温度对超临界CO2中药物溶解度的影响进行计算分析

Ahmad J Obaidullah1, Wael A Mahdi2, Adel Alhowyan3

  • 1Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh, 11451, Saudi Arabia. aobaidullah@ksu.edu.sa.

Scientific reports
|November 17, 2025
PubMed
概括

机器学习可以准确地预测制药制造参数. 通过使用超临界流体,AdaBoost-KNN模型提高了Letrozole的溶解性预测,在连续制造中实现了高精度.

关键词:
黄金优化器优化器莱特醇是一种药品制造业 药品制造业 药品制造业 药品制造业可溶性 溶解度 可溶性 溶解度

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