4.8 Article

Multicomponent Coupled Cluster Singles and Doubles with Density Fitting: Protonated Water Tetramers with Quantized Protons

期刊

JOURNAL OF PHYSICAL CHEMISTRY LETTERS
卷 12, 期 6, 页码 1631-1637

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpclett.0c03771

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资金

  1. U.S. Department of Energy, Office of Science, Offices of Basic Energy Sciences and Advanced Scientific Computing Research, Scientific Discovery, through the Advanced Computing (SciDAC) program
  2. National Science Foundation [CHE1954348]

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The nuclear quantum effects are incorporated into quantum chemistry calculations using the nuclear-electronic orbital (NEO) approach, which includes both traditional and t1-transformed NEO coupled cluster methods with a density fitting scheme. The NEO-DF-CCSD method, with enhanced computational efficiency, accurately predicts proton affinities and successfully predicts the energy ordering of protonated water tetramers with multiple quantum protons. This work showcases the capabilities of the NEO-DF-CCSD method and lays the foundation for future developments and applications.
Nuclear quantum effects such as zero-point energy are important for describing a wide range of chemical properties. The nuclear-electronic orbital (NEO) approach incorporates such effects into quantum chemistry calculations by treating specified nuclei, typically protons, quantum mechanically on the same level as electrons. Herein, both the traditional and t1-transformed NEO coupled cluster with singles and doubles (NEO-CCSD) methods are implemented with a density fitting (DF) scheme for approximating the four-center two-particle integrals. The enhanced computational efficiency enables calculations on larger molecules with multiple quantum protons. The NEO-DF-CCSD method predicts proton affinities within chemical accuracy. Its application to protonated water tetramers with all nine protons treated quantum mechanically produces the qualitatively correct ordering of the isomer energies, which are strongly influenced by the zero-point energy contributions inherently included in NEO energy calculations. This work showcases the capabilities of the NEO-DF-CCSD method and provides the foundation for future developments and applications.

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