4.7 Article

Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 18, 期 4, 页码 2331-2340

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.2c00082

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资金

  1. Israel Science Foundation
  2. Aryeh and Mintzi Katzman Professorial Chair
  3. Helen and Martin Kimmel Award for Innovative Investigation
  4. U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences [KC-030103172684]
  5. Office of Biological and Environmental Research
  6. United States Department of Energy under DOE [DE-AC05-76RL1830]

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This study focuses on the optimal tuning of free parameters in range-separated double hybrid functionals, aiming to minimize fractional charge and fractional spin errors. The results suggest that introducing range separation in both the exchange and correlation terms is effective in achieving this goal. The optimal set of parameters is system-specific, indicating the importance of the tuning procedure. Additionally, the performance of the optimally tuned functionals in dissociation curves of diatomic molecules is tested, showing an improvement in accuracy.
We study the optimal tuning of the free parameters inrange-separated double hybrid functionals, based on enforcing the exactconditions of piecewise linearity and spin constancy. Wefind thatintroducing the range separation in both the exchange and the correlationterms allows for the minimization of both fractional charge and fractionalspin errors for singlet atoms. The optimal set of parameters is systemspecific, underlining the importance of the tuning procedure. We test theperformance of the resulting optimally tuned functionals for thedissociation curves of diatomic molecules. Wefind that they recoverthe correct dissociation curve for the one-electron system, H2+, andimprove the dissociation curves of many-electron molecules such as H2and Li2, but they also yield a nonphysical maximum and only converge tothe correct dissociation limit at very large distances

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