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Automatic Partition of Orbital Spaces Based on Singular Value Decomposition in the Context of Embedding Theories.pdf (2.62 MB)
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Automatic Partition of Orbital Spaces Based on Singular Value Decomposition in the Context of Embedding Theories

preprint
revised on 02.11.2018 and posted on 05.11.2018 by Daniel Claudino, Nicholas Mayhall
We present a simple approach for orbital space partitioning to be employed in the projection-based embedding theory developed by Goodpaster and coworkers [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 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.

Funding

US Department of Energy Award No. DE-SC0018326

History

Email Address of Submitting Author

dclaudino@vt.edu

Institution

Virginia Tech

Country

USA

ORCID For Submitting Author

0000-0002-8860-0689

Declaration of Conflict of Interest

No conflict of interest

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