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Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies Journal article
Jiang, Junhuang, Ouyang, Defang, Williams, Robert O.. Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies[J]. AAPS PharmSciTech, 2023, 24(5), 103.
Authors:  Jiang, Junhuang;  Ouyang, Defang;  Williams, Robert O.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.5 | Submit date：2023/07/20
Amorphous Drugs  Artificial Intelligence  Glass-forming Ability  Machine Learning  
A two-step fused machine learning approach for the prediction of glass-forming ability of metallic glasses Journal article
Zhang Y.X., Xing G.C., Sha Z.D., Poh L.H.. A two-step fused machine learning approach for the prediction of glass-forming ability of metallic glasses[J]. Journal of Alloys and Compounds, 2021, 875, 160040.
Authors:  Zhang Y.X.;  Xing G.C.;  Sha Z.D.;  Poh L.H.
Favorite | TC[WOS]:27 TC[Scopus]:25  IF:5.8/5.3 | Submit date：2021/09/10
Glass-forming Ability  Good Glass Former  Machine Learning  Metallic Glass