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Computational methods for investigating organic radical species.
Renningholtz, Tim; Lim, Ethan R X; James, Michael J; Trujillo, Cristina.
  • Renningholtz T; The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. michael.james@manchester.ac.uk.
  • Lim ERX; The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. michael.james@manchester.ac.uk.
  • James MJ; The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. michael.james@manchester.ac.uk.
  • Trujillo C; The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. michael.james@manchester.ac.uk.
Org Biomol Chem ; 22(30): 6166-6173, 2024 Jul 31.
Article en En | MEDLINE | ID: mdl-39012651
ABSTRACT
Computational analysis of organic radical species presents significant challenges. This study compares the efficacy of various DFT and wavefunction methods in predicting radical stabilisation energies, bond dissociation energies, and redox potentials for organic radicals. The hybrid meta-GGA M062X-D3(0), and the range-separated hybrids ωB97M-V and ωB97M-D3(BJ) emerged as the most reliable functionals, consistently providing accurate predictions across different basis sets including 6-311G**, cc-pVTZ, and def2-TZVP.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article