five

Automatic Partition of Orbital Spaces Based on Singular Value Decomposition in the Context of Embedding Theories

收藏
Figshare2019-01-22 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Automatic_Partition_of_Orbital_Spaces_Based_on_Singular_Value_Decomposition_in_the_Context_of_Embedding_Theories/7616150
下载链接
链接失效反馈
官方服务:
资源简介:
We present a simple approach for orbital space partitioning to be employed in the projection-based embedding theory developed by Goodpaster and co-workers [Manby et al. J. Chem. Theory Comput. 2012, 8, 2564]. Once the atoms are assigned to the desired subspaces, the molecular orbitals are projected onto the atomic orbitals centered on active atoms and then singular value decomposed. The right singular vectors are used to rotate the initial molecular orbitals, taking the largest gap in the singular values spectrum to define the most suitable partition of the occupied orbital space. This scheme is free from numerical parameters, contrary to the Mulliken charge threshold or the completeness criterion previously used. The performance of this new prescription is assessed in a test set of several distinct reactions, the deprotonation of decanoic acid, the Diels-Alder reaction of 1,3-butadiene and octadecanonaene, the torsional potential of a retinal derivative, and the critical points along the reaction coordinate of an example of the Menshutkin SN2 reaction inside a carbon nanotube.
创建时间:
2019-01-22
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