Static polarizabilities at the basis set limit: A benchmark of 124 species
Permanent lenke
https://hdl.handle.net/10037/18801Dato
2020-06-16Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Brakestad, Anders; Jensen, Stig Rune; Wind, Peter; D'Alessandro, Marco; Genovese, Luigi; Hopmann, Kathrin Helen; Frediani, LucaSammendrag
Benchmarking molecular properties with Gaussian-type orbital (GTO) basis sets can be challenging, because one has to assume that the computed property is at the complete basis set (CBS) limit, without a robust measure of the error. Multiwavelet (MW) bases can be systematically improved with a controllable error, which eliminates the need for such assumptions. In this work, we have used MWs within Kohn–Sham density functional theory to compute static polarizabilities for a set of 92 closed-shell and 32 open-shell species. The results are compared to recent benchmark calculations employing the GTO-type aug-pc4 basis set. We observe discrepancies between GTO and MW results for several species, with open-shell systems showing the largest deviations. Based on linear response calculations, we show that these discrepancies originate from artefacts caused by the field strength, and that several polarizabilies from a previous study were contaminated by higher order responses (hyperpolarizabilities). Based on our MW benchmark results, we can affirm that aug-pc4 is able to provide results close to the CBS limit, as long as finite-difference effects can be controlled. However, we suggest that a better approach is to use MWs, which are able to yield precise finite-difference polarizabilities even with small field strengths.
Er en del av
Brakestad, A. (2022). Applications of Multiwavelets to Energies and Properties. (Doctroal thesis). https://hdl.handle.net/10037/23861.Forlag
American Chemical SocietySitering
Brakestad A, Jensen SR, Wind PA, D'Alessandro, Genovese, Hopmann KH, Frediani L. Static polarizabilities at the basis set limit: A benchmark of 124 species. Journal of Chemical Theory and Computation. 2020Metadata
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