研究论文
Predicting thermophysical properties of amine solutions: A hybrid machine learning framework with synthetic data augmentation
Jinzi Mac Huang, Bingsheng Li, Xing Liu, Guiyang Ye, Zehua Xu, Zhi Yang, Yuxuan Li, Song He 等 9 位
Guangdong University of Technology
来源Separation and Purification Technology
年份2025
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逐年被引趋势
420
426
关键指标
4
被引次数 · OpenAlex
1.23
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 23%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
56
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学术脉络
学科主题
工程Phase Equilibria and Thermodynamics
Machine Learning in Materials Science · Process Optimization and Integration
参考文献 56
Density and Viscosity of Some Partially Carbonated Aqueous Alkanolamine Solutions and Their Blends
被引 346Ralph H. Weiland, John C. Dingman, D. Benjamin Cronin · Journal of Chemical & Engineering Data · 1998
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
被引 20,597Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997
Thermophysical properties of fresh and lean thermally degraded N-methyldiethanolamine
被引 14Ahmad Abukashabeh, Emad Alhseinat, Sameer Al‐Asheh · Journal of Natural Gas Science and Engineering · 2014
此处列出前 3 条
引用本文 4
From prediction to design: An XGBoost-genetic algorithm framework for high-performance ionic liquids design in CO2 capture blends
被引 2Guiyang Ye, Zhouhong Li, Yongwen Xu · Separation and Purification Technology · 2026
Robust prediction of CO2 absorption in blended amines via structure-concentration integration: A machine learning approach for imbalanced and data-scarce systems
被引 0Binmin Li, Tengxian Qin, Zehua Xu · Journal of environmental chemical engineering · 2026
Graph-based molecular embedding and machine learning for accurate prediction of CO2 absorption in amine solutions
被引 0Lidong Wang, Aizimaitijiang Aierken, Qin Dai · Separation and Purification Technology · 2026
按被引量排序，此处列出前 3 条