The nature of multiple boron-nitrogen bonds studied using electron localization function (ELF), electron density (AIM), and natural bond orbital (NBO) methods

Journal article


Mierzwa, G., Gordon, A.J. and Berski, S. 2020. The nature of multiple boron-nitrogen bonds studied using electron localization function (ELF), electron density (AIM), and natural bond orbital (NBO) methods. Journal of Molecular Modeling. 26 (136), pp. 1-23. https://doi.org/10.1007/s00894-020-04374-9
AuthorsMierzwa, G., Gordon, A.J. and Berski, S.
Abstract

Local nature of the boron-nitrogen (BN) bonding with different formal multiplicities (B≡N, B=N, B-N) have been investigated for 25 experimentally established organoboron molecules in both real and the Hilbert space, using topological analysis of electron localization function (ELF), electron density (AIM), and natural bond orbital (NBO) method. Each BN bond has been represented (ELF) by the bonding disynaptic attractor V(B,N), with the basin electron population between 5.72e and 1.83e, confirming possible existence of all the three bond types. A covalent character of bonding can be associated with the dative mechanism due to the V(B,N) bonding basin formed mainly (91–96%) by the N electron density. Similarly, the NBO method shows 2-center natural orbitals, consisting largely of the hybrids from the N atom. The AIM analysis yields the features typical for shared (H(3,−1)(r) < 0) and closed-shell (∇2ρ(3,−1)(r) > 0) interactions. The delocalization indices, describing electron exchanges between B and N quantum atoms, are smaller than 1.5, even for formally very short triple B≡N bonds.

KeywordsB-N; B=N ; B≡N; Chemical bond; Double bond; Triple bond; ELF; Electron localization; Attractor; Basin
Year2020
JournalJournal of Molecular Modeling
Journal citation26 (136), pp. 1-23
PublisherSpringer
ISSN1610-2940
0948-5023
Digital Object Identifier (DOI)https://doi.org/10.1007/s00894-020-04374-9
Official URLhttps://link.springer.com/article/10.1007/s00894-020-04374-9
Publication dates
Online13 May 2020
Publication process dates
Accepted31 Mar 2020
Deposited04 Jan 2024
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Open
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