scholarly journals Local Vibrational Mode Analysis of π–Hole Interactions between Aryl Donors and Small Molecule Acceptors

Crystals ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 556 ◽  
Author(s):  
Seth Yannacone ◽  
Marek Freindorf ◽  
Yunwen Tao ◽  
Wenli Zou ◽  
Elfi Kraka

11 aryl–lone pair and three aryl–anion π –hole interactions are investigated, along with the argon–benzene dimer and water dimer as reference compounds, utilizing the local vibrational mode theory, originally introduced by Konkoli and Cremer, to quantify the strength of the π –hole interaction in terms of a new local vibrational mode stretching force constant between the two engaged monomers, which can be conveniently used to compare different π –hole systems. Several factors have emerged which influence strength of the π –hole interactions, including aryl substituent effects, the chemical nature of atoms composing the aryl rings/ π –hole acceptors, and secondary bonding interactions between donors/acceptors. Substituent effects indirectly affect the π –hole interaction strength, where electronegative aryl-substituents moderately increase π –hole interaction strength. N-aryl members significantly increase π –hole interaction strength, and anion acceptors bind more strongly with the π –hole compared to charge neutral acceptors (lone–pair donors). Secondary bonding interactions between the acceptor and the atoms in the aryl ring can increase π –hole interaction strength, while hydrogen bonding between the π –hole acceptor/donor can significantly increase or decrease strength of the π –hole interaction depending on the directionality of hydrogen bond donation. Work is in progress expanding this research on aryl π –hole interactions to a large number of systems, including halides, CO, and OCH3− as acceptors, in order to derive a general design protocol for new members of this interesting class of compounds.

2020 ◽  
Vol 153 (22) ◽  
pp. 224303
Author(s):  
Alexis A. A. Delgado ◽  
Daniel Sethio ◽  
Ipek Munar ◽  
Viktorya Aviyente ◽  
Elfi Kraka

Physchem ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 45-68
Author(s):  
Seth Yannacone ◽  
Kapil Dev Sayala ◽  
Marek Freindorf ◽  
Nicolay V. Tsarevsky ◽  
Elfi Kraka

Tetrazoles are well known for their high positive enthalpy of formation which makes them attractive as propellants, explosives, and energetic materials. As a step towards a deeper understanding of the stability of benziodazolotetrazole (BIAT)-based materials compared to their benziodoxole (BIO) counterparts, we investigated in this work electronic structure features and bonding properties of two monovalent iodine precursors: 2-iodobenzoic acid and 5-(2-iodophenyl)tetrazole and eight hypervalent iodine (III) compounds: I-hydroxybenzidoxolone, I-methoxybenziodoxolone, I-ethoxybenziodoxolone, I-iso-propoxybenziodoxolone and the corresponding I-hydroxyben ziodazolotetrazole, I-methoxybenziodazolotetrazole, I-ethoxybenziodazolotetrazole and I-iso- propoxybenziodazolotetrazole. As an efficient tool for the interpretation of the experimental IR spectra and for the quantitative assessment of the I−C, I−N, and I−O bond strengths in these compounds reflecting substituent effects, we used the local vibrational mode analysis, originally introduced by Konkoli and Cremer, complemented by electron density and natural bond orbital analyses. Based on the hypothesis that stronger bonds correlate with increased stability, we predict that, for both series, i.e., substituted benziodoxoles and benziodazolotetrazoles, the stability increases as follows: I-iso-propoxy < I-ethoxy < I-methoxy < I-hydroxy. In particular, the I−N bonds in the benziodazolotetrazoles could be identified as the so-called trigger bonds being responsible for the initiation of explosive decomposition in benziodazolotetrazoles. The new insight gained by this work will allow for the design of new benziodazolotetrazole materials with controlled performance or stability based on the modulation of the iodine bonds with its three ligands. The local mode analysis can serve as an effective tool to monitor the bond strengths, in particular to identify potential trigger bonds. We hope that this article will foster future collaboration between the experimental and computational community being engaged in vibrational spectroscopy.


2009 ◽  
Vol 404 (23-24) ◽  
pp. 4568-4571
Author(s):  
L.I. Murin ◽  
B.G. Svensson ◽  
J.L. Lindström ◽  
V.P. Markevich ◽  
C.A. Londos

2021 ◽  
Vol 23 (15) ◽  
pp. 9121-9129
Author(s):  
Weixing Li ◽  
Imanol Usabiaga ◽  
Camilla Calabrese ◽  
Luca Evangelisti ◽  
Assimo Maris ◽  
...  
Keyword(s):  

Stronger and more flexible lone pair⋯π–hole interaction of ammonia with respect to water in complexes with perfluorinated arenes.


1991 ◽  
Vol 69 (2) ◽  
pp. 971-974 ◽  
Author(s):  
J. Wagner ◽  
M. Maier ◽  
R. Murray ◽  
R. C. Newman ◽  
R. B. Beall ◽  
...  

2015 ◽  
Vol 62 ◽  
pp. 447-459
Author(s):  
Bruce A. Joyce

Ronald Charles (Ron) Newman was one of the most versatile semiconductor physicists of his generation and is distinguished for his work in several different areas, most notably epitaxial growth and the behaviour of impurities and dopants in a range of device-related materials, mainly silicon and gallium arsenide. His most significant contributions came from the application of local vibrational-mode spectroscopy to studies of the segregation and diffusion of oxygen and hydrogen in silicon. The results were of fundamental importance in the fabrication of integrated circuits.


2019 ◽  
Vol 47 (W1) ◽  
pp. W471-W476 ◽  
Author(s):  
Rasim Murat Aydınkal ◽  
Onur Serçinoğlu ◽  
Pemra Ozbek

AbstractProSNEx (Protein Structure Network Explorer) is a web service for construction and analysis of Protein Structure Networks (PSNs) alongside amino acid flexibility, sequence conservation and annotation features. ProSNEx constructs a PSN by adding nodes to represent residues and edges between these nodes using user-specified interaction distance cutoffs for either carbon-alpha, carbon-beta or atom-pair contact networks. Different types of weighted networks can also be constructed by using either (i) the residue-residue interaction energies in the format returned by gRINN, resulting in a Protein Energy Network (PEN); (ii) the dynamical cross correlations from a coarse-grained Normal Mode Analysis (NMA) of the protein structure; (iii) interaction strength. Upon construction of the network, common network metrics (such as node centralities) as well as shortest paths between nodes and k-cliques are calculated. Moreover, additional features of each residue in the form of conservation scores and mutation/natural variant information are included in the analysis. By this way, tool offers an enhanced and direct comparison of network-based residue metrics with other types of biological information. ProSNEx is free and open to all users without login requirement at http://prosnex-tool.com.


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