five

A Spatial Group Contribution Method for Predicting the Phase Transition Properties of Organic Compounds

收藏
Figshare2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/A_Spatial_Group_Contribution_Method_for_Predicting_the_Phase_Transition_Properties_of_Organic_Compounds/29514166
下载链接
链接失效反馈
官方服务:
资源简介:
A spatial group contribution (SGC) method is proposed for predicting the ΔvapH° (298.15 K), ΔsubH° (298.15 K), ΔfusH, and ΔfusS values of organic compounds. Relying solely on the count of groups to predict molecular properties in traditional group contribution (GC) largely overlooks the specificity conferred by the molecular stereochemistry. Our study introduces spatial group factor (SGF) and spatial position factor (SPF), designed to quantitatively characterize the three-dimensional morphological features of groups and their spatial position, respectively. The average absolute deviations of the isomers for four SGC models are reduced by 21.5, 23.3, 10.5, and 10.7%, respectively, compared with the traditional GC method, indicating that the proposed SGF and SPF facilitate the differentiation of isomers. The squared correlation coefficients (Rtest2) of the test sets in all models are higher than 0.91, and their QLOO2 obtained by internal validation exceeds 0.89, indicating that all models have good predictive ability and stability.
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作