首页> 外文期刊>Journal of chemical theory and computation: JCTC >Can DFT Accurately Predict Spin Densities? Analysis of Discrepancies in Iron Nitrosyl Complexes
【24h】

Can DFT Accurately Predict Spin Densities? Analysis of Discrepancies in Iron Nitrosyl Complexes

机译:DFT可以准确预测纺丝密度吗?亚硝基铁配合物的差异分析

获取原文
获取原文并翻译 | 示例
           

摘要

Iron nitrosyl complexes are a particularly challenging case for density functional theory. In particular, for the low-spin state, different exchange-correlation functionals yield very different spin densities [Conradie, J.; Ghosh, A. J. Phys. Chem. B 2007, 111, 12621 - 12624]. Here, we investigate the origin of these differences in detail by analyzing the Kohn-Sham molecular orbitals. Furthermore, to decide which exchange-correlation functionals yield the most accurate spin densities, we make comparisons to CASSCF calculations. To ensure that the spin densities are converged with respect to the size of the active space, this comparison is performed for [Fe(NO)]~(2+) as a model system. We find that none of the investigated exchange-correlation functionals are able to reproduce the CASSCF spin densities accurately.
机译:亚硝酰基铁络合物是密度泛函理论的一个特别具有挑战性的案例。特别地,对于低自旋态,不同的交换相关功能产生非常不同的自旋密度[Conradie,J .; Ghosh,A。J. Phys。化学B 2007,111,12621-12624]。在这里,我们通过分析Kohn-Sham分子轨道来详细研究这些差异的起源。此外,为了确定哪种交换相关函数产生最准确的自旋密度,我们与CASSCF计算进行了比较。为了确保自旋密度相对于活动空间的大小收敛,对于[Fe(NO)]〜(2+)作为模型系统执行此比较。我们发现没有调查的交换相关功能能够准确地复制CASSCF自旋密度。

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