Computational and Synthetic Studies with Tetravinylethylenes
收藏NIAID Data Ecosystem2026-03-09 收录
数据链接:
官方服务:
资源简介:
Computational and experimental studies offer fresh insights into the neglected tetravinylethylene class of compounds. Both the structures and the outcomes of exploratory reactions of the parent hydrocarbon are predicted and explained in detail through high-level composite ab initio MO G4(MP2) computational studies.
创建时间:
2014-12-05



