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Nitrogen and Sulfur Compounds in Atmospheric Aerosols: A New Parametrization of Polarized Molecular Orbital Model Chemistry and Its Validation against Converged CCSD(T) Calculations for Large Clusters

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Department of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, United States
Institute for Chemistry, Chemnitz University of Technology, Straße der Nationen 62, 09111, Chemnitz, Germany
*E-mail: [email protected] (J. Friedrich).
*E-mail: [email protected] (D. G. Truhlar).
Cite this: J. Chem. Theory Comput. 2014, 10, 8, 3129–3139
Publication Date (Web):June 16, 2014
https://doi.org/10.1021/ct5003169
Copyright © 2014 American Chemical Society
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Abstract

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The parametrization of the polarized molecular orbital (PMO) method, which is a neglect-of-diatomic-differential-overlap (NDDO) semiempirical method that includes polarization functions on hydrogens, is extended to include the constituents that dominate the nucleation of atmospheric aerosols, including ammonia, sulfuric acid, and water. The parametrization and validation are based mainly on CCSD(T)/CBS results for atmospheric clusters composed of sulfuric acid, dimethylamine, and ammonia and on M06-2X exchange-correlation functional calculations for other constituents of the atmospheric aerosols. The resulting model, called PMO2a, is parametrized for molecules containing any type of H, C, or O, amino or ammonium N, and S atoms bonded to O. The new method gives greatly improved electric polarization compared to any other member of the family of NDDO methods. In addition, PMO2a is shown to outperform previous NDDO methods for atomization energies and atmospheric aerosol reaction energies; therefore, its use can be recommended for realistic simulations.

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Cited By


This article is cited by 5 publications.

  1. Xuefei Xu, Wenjing Zhang, Mingsheng Tang, and Donald G. Truhlar . Do Practical Standard Coupled Cluster Calculations Agree Better than Kohn–Sham Calculations with Currently Available Functionals When Compared to the Best Available Experimental Data for Dissociation Energies of Bonds to 3d Transition Metals?. Journal of Chemical Theory and Computation 2015, 11 (5) , 2036-2052. https://doi.org/10.1021/acs.jctc.5b00081
  2. Tamara Husch, Alain C. Vaucher, Markus Reiher. Semiempirical molecular orbital models based on the neglect of diatomic differential overlap approximation. International Journal of Quantum Chemistry 2018, 118 (24) , e25799. https://doi.org/10.1002/qua.25799
  3. Chuan Chen, Bo Shao, Ruo-Chen Zhang, Xi-Jun Xu, Xu Zhou, Yuan Yuan, Nan-Qi Ren, Duu-Jong Lee. Mitigating adverse impacts of varying sulfide/nitrate ratios on denitrifying sulfide removal process performance. Bioresource Technology 2018, 267 , 782-788. https://doi.org/10.1016/j.biortech.2018.07.096
  4. Yuan-Chun Hu, Xiu-Hui Zhang, Quan-Song Li, Yun-Hong Zhang, Ze-Sheng Li. Effect of Water on the Structure and Stability of Hydrogen-Bonded Oxalic Acid Dimer. ChemPhysChem 2017, 18 (23) , 3375-3383. https://doi.org/10.1002/cphc.201700950
  5. Nusret Duygu Yilmazer, Martin Korth. Enhanced semiempirical QM methods for biomolecular interactions. Computational and Structural Biotechnology Journal 2015, 13 , 169-175. https://doi.org/10.1016/j.csbj.2015.02.004

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