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      Superalkali X3O (X = Li, Na, K) doped B12N12 nano-cages as a new drug delivery platform for chlormethine: A DFT approach

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      Computational and Theoretical Chemistry
      Elsevier BV

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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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            Quantum mechanical continuum solvation models.

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              The calculation of small molecular interactions by the differences of separate total energies. Some procedures with reduced errors

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                Author and article information

                Journal
                Computational and Theoretical Chemistry
                Computational and Theoretical Chemistry
                Elsevier BV
                2210271X
                June 2022
                June 2022
                : 1212
                : 113722
                Article
                10.1016/j.comptc.2022.113722
                459fc6d7-aef6-4045-9916-263729b69802
                © 2022

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

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