...
首页> 外文期刊>International Journal of Quantum Chemistry >Ab initio molecular modeling of ~(13)C NMR chemical shifts of polymers. 1. Ethylene-norbornene copolymers
【24h】

Ab initio molecular modeling of ~(13)C NMR chemical shifts of polymers. 1. Ethylene-norbornene copolymers

机译:聚合物〜(13)C NMR化学位移的从头算分子模型。 1.乙烯-降冰片烯共聚物

获取原文
获取原文并翻译 | 示例

摘要

Cycloolefin copolymers (COC) have recently raised much interest because of their excellent thermal and optical properties, largely determined by the chain composition and stereochemistry. Previous force-field computations allowed us to define the main conformational characteristics of ethylene-norbornene (E-N) copolymers and to contribute to the elucidation of their microstructure on the basis of empirical relationships between conformation and ~(13)C nuclear magnetic resonance (NMR) chemical shifts. A thorough test of ab initio ~(13)C chemical shifts computations [gauge-invariant atomic orbitals (GIAO)] on known cases shows that the agreement with experimental data is quite good, especially with the MPW1PW91 density functional theory (DFT), using the 6-311+G(2d,p) basis set on properly energy-minimized structures. We applied this method on proper model compounds to confirm the signal assignment of the spectra of E-N copolymers in the presence of norbornene microblocks, where strong effects arising from ring distoritions are expected to occur. The results nicely confirm the latest assignment of norbornene signals belonging to ENNE sequences. This shows that great potentialities of GIAO/DFT computations with regard to complex spectra interpretation and polymer microstructural investigations.
机译:环烯烃共聚物(COC)最近因其优异的热和光学性能而受到广泛关注,这在很大程度上取决于链的组成和立体化学。先前的力场计算使我们能够定义乙烯-降冰片烯(EN)共聚物的主要构象特征,并基于构象与〜(13)C核磁共振(NMR)之间的经验关系,有助于阐明其微观结构化学位移。对从头开始的〜(13)C化学位移计算[不变规原子轨道(GIAO)]进行了彻底的测试,结果表明与实验数据的一致性很好,尤其是与MPW1PW91密度泛函理论(DFT)的使用, 6-311 + G(2d,p)基础设置在能量最小的结构上。我们在适当的模型化合物上应用了该方法,以确认在降冰片烯微嵌段存在的情况下E-N共聚物光谱的信号分配,其中预计会发生由环畸变引起的强烈影响。结果很好地证实了属于ENNE序列的降冰片烯信号的最新分配。这表明GIAO / DFT计算在复杂光谱解释和聚合物微结构研究方面具有巨大潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号