International Journal of Quantum Chemistry

Cover image for Vol. 117 Issue 22

Impact Factor: 2.92

ISI Journal Citation Reports © Ranking: 2016: 12/100 (Mathematics Interdisciplinary Applications); 12/35 (Physics Atomic Molecular & Chemical); 58/145 (Chemistry Physical)

Online ISSN: 1097-461X

Associated Title(s): Journal of Computational Chemistry

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Recently Published Articles

  1. Evolutionary algorithm based configuration interaction approach

    Rahul Chakraborty, Paulami Ghosh and Debashree Ghosh

    Version of Record online: 10 OCT 2017 | DOI: 10.1002/qua.25509

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    An evolutionary algorithm-based method to sample the important part of the Hilbert space in strongly correlated systems is developed as an alternative to stochastic approaches like MCCI, FCI-QMC, DMRG, and ACI. This method has the ability to capture both static and dynamic correlation, with excellent performance and convergence properties, when tested against the N2 triple bond breaking problem. The genetic algorithm accelerates the search of important configurations in the full configuration space.

  2. Halogen bonding between substituted chlorobenzene and trimethylamine: Decisive role of σ–hole and C[BOND]Cl bond breaking energy

    Dipankar Sutradhar and Asit. K. Chandra

    Version of Record online: 10 OCT 2017 | DOI: 10.1002/qua.25511

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    Halogen bonding plays an important role in liquid crystals, polymerization, crystal engineering, and biomedical applications. This interaction can be tuned systematically to design novel materials and pharmaceutical ligands with specifically desired properties. First-principles calculations show how to use of Vs,max and heterolytic bond breaking energy as a tool to tune the strength of σ-hole and N···Cl halogen bonds.

  3. A DFT study of proton transfers for the reaction of phenol and hydroxyl radical leading to dihydroxybenzene and H2O in the water cluster

    Shinichi Yamabe and Shoko Yamazaki

    Version of Record online: 9 OCT 2017 | DOI: 10.1002/qua.25510

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    First-principles calculations provide valuable insight into the mechanism of the reactions between phenol and hydroxyl radical. Under aqueous environment reaction modeling reveals the antioxidant characters of phenolic compounds. Transition states involving proton transfers for elementary processes were determined for this class of reactions by density functional theory calculations.

  4. DFT study of the acid-catalyzed esterification reaction mechanism of methanol with carboxylic acid and its halide derivatives

    Monsurat M. Lawal, Thavendran Govender, Glenn E. M. Maguire, Hendrik G. Kruger and Bahareh Honarparvar

    Version of Record online: 4 OCT 2017 | DOI: 10.1002/qua.25497

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    Esters are important intermediates in the chemical industry due to their widespread pharmaceutical applications and biodiesel production. Extensive experimental studies have been dedicated to the esterification reactions from carboxylic acids and acid halides, and Density Functional Theory (DFT) calculations can play an important role in clarifying their mechanisms. DFT-based quantum descriptors are, in fact, used to provide better understanding of the reactivity, selectivity, and stability of this class of reactions.

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    Quantum dynamical studies of ultrafast charge separation in nanostructured organic polymer materials: Effects of vibronic interactions and molecular packing

    Matthias Polkehn, Pierre Eisenbrandt, Hiroyuki Tamura and Irene Burghardt

    Version of Record online: 30 SEP 2017 | DOI: 10.1002/qua.25502

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    This contribution reviews quantum dynamical studies of ultrafast charge separation in organic donor-acceptor materials developed for photovoltaics applications, with a special focus on the role of molecular packing and vibronic interactions. An accurate picture of the coherent femtosecond-scale events is obtained by combining first-principles parametrized model Hamiltonians, based upon TDDFT and/or high-level electronic structure calculations, with high-dimensional quantum dynamics using the Multi-Configuration Time-Dependent Hartree (MCTDH) method.

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