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Collection of Supporting Information for my Publications

https://github.com/marvinfriede/paper

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Collection of Supporting Information for my Publications

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Created almost 4 years ago · Last pushed over 1 year ago
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README.md

Paper and Supporting Information

Do optimally-tuned range-separated hybrid functionals require a re-parameterization of the dispersion correction? It depends.
M. Friede, S. Ehlert, S. Grimme, J.-M. Mewes
J. Chem. Theory Comput. 2023, 19, 22, 8097–8107.
DOI: 10.1021/acs.jctc.3c00717

The SI can be found in the 2023-JCTC directory.

Owner

  • Name: Marvin Friede
  • Login: marvinfriede
  • Kind: user
  • Location: Germany
  • Company: @grimme-lab

Theoretical Chemist (M.Sc.)

Citation (CITATIONS.bib) 

@article{friede.2023,
  title = {Do {{Optimally Tuned Range-Separated Hybrid Functionals Require}} a {{Reparametrization}} of the {{Dispersion Correction}}? {{It Depends}}},
  shorttitle = {Do {{Optimally Tuned Range-Separated Hybrid Functionals Require}} a {{Reparametrization}} of the {{Dispersion Correction}}?},
  author = {Friede, Marvin and Ehlert, Sebastian and Grimme, Stefan and Mewes, Jan-Michael},
  year = {2023},
  month = nov,
  journal = {J. Chem. Theory Comput.},
  volume = {19},
  number = {22},
  pages = {8097--8107},
  publisher = {{American Chemical Society}},
  issn = {1549-9618},
  doi = {10.1021/acs.jctc.3c00717},
  abstract = {For ground- and excited-state studies of large molecules, it is the state of the art to combine (time-dependent) DFT with dispersion-corrected range-separated hybrid functionals (RSHs), which ensures an asymptotically correct description of exchange effects and London dispersion. Specifically for studying excited states, it is common practice to tune the range-separation parameter {$\omega$} (optimal tuning), which can further improve the accuracy. However, since optimal tuning essentially changes the functional, it is unclear if and how much the parameters used for the dispersion correction depend on the chosen {$\omega$} value. To answer this question, we explore this interdependency by refitting the DFT-D4 dispersion model for six established RSHs over a wide range of {$\omega$} values (0.05\textendash 0.45 a0\textendash 1) using a set of noncovalently bound molecular complexes. The results reveal some surprising differences among the investigated functionals: While PBE-based RSHs and {$\omega$}B97M-D4 generally exhibit a weak interdependency and robust performance over a wide range of {$\omega$} values, B88-based RSHs, specifically LC-BLYP, are strongly affected. For these, even a minor reduction of {$\omega$} from the default value manifests in strong systematic overbinding and poor performance in the typical range of optimally tuned {$\omega$} values. Finally, we discuss strategies to mitigate these issues and reflect the results in the context of the employed D4 parameter optimization algorithm and fit set, outlining strategies for future improvements.},
}

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