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      Designing and theoretical study of benzocarbazole-based D-π-D type small molecules donor for organic solar cells

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      Journal of Molecular Graphics and Modelling
      Elsevier BV

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          Generalized Gradient Approximation Made Simple

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            Multiwfn: a multifunctional wavefunction analyzer.

            Multiwfn is a multifunctional program for wavefunction analysis. Its main functions are: (1) Calculating and visualizing real space function, such as electrostatic potential and electron localization function at point, in a line, in a plane or in a spatial scope. (2) Population analysis. (3) Bond order analysis. (4) Orbital composition analysis. (5) Plot density-of-states and spectrum. (6) Topology analysis for electron density. Some other useful utilities involved in quantum chemistry studies are also provided. The built-in graph module enables the results of wavefunction analysis to be plotted directly or exported to high-quality graphic file. The program interface is very user-friendly and suitable for both research and teaching purpose. The code of Multiwfn is substantially optimized and parallelized. Its efficiency is demonstrated to be significantly higher than related programs with the same functions. Five practical examples involving a wide variety of systems and analysis methods are given to illustrate the usefulness of Multiwfn. The program is free of charge and open-source. Its precompiled file and source codes are available from http://multiwfn.codeplex.com. Copyright © 2011 Wiley Periodicals, Inc.
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              A new hybrid exchange–correlation functional using the Coulomb-attenuating method (CAM-B3LYP)

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                Author and article information

                Contributors
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                Journal
                Journal of Molecular Graphics and Modelling
                Journal of Molecular Graphics and Modelling
                Elsevier BV
                10933263
                June 2023
                June 2023
                : 121
                : 108455
                Article
                10.1016/j.jmgm.2023.108455
                eeb1912b-ca98-4638-913a-f6d209a8d9f1
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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