2017
DOI: 10.1002/jcc.25122
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Analytic energy gradients for orbital‐optimized MP3 and MP2.5 with the density‐fitting approximation: An efficient implementation

Abstract: Efficient implementations of analytic gradients for the orbital-optimized MP3 and MP2.5 and their standard versions with the density-fitting approximation, which are denoted as DF-MP3, DF-MP2.5, DF-OMP3, and DF-OMP2.5, are presented. The DF-MP3, DF-MP2.5, DF-OMP3, and DF-OMP2.5 methods are applied to a set of alkanes and noncovalent interaction complexes to compare the computational cost with the conventional MP3, MP2.5, OMP3, and OMP2.5. Our results demonstrate that density-fitted perturbation theory (DF-MP) … Show more

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Cited by 24 publications
(26 citation statements)
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References 88 publications
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“…In the CBS extrapolations, the DFT functionals were treated as the HF method. All computations were performed with the development version of the PSI4 program package, which includes Bozkaya's DFOCC module …”
Section: Resultsmentioning
confidence: 99%
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“…In the CBS extrapolations, the DFT functionals were treated as the HF method. All computations were performed with the development version of the PSI4 program package, which includes Bozkaya's DFOCC module …”
Section: Resultsmentioning
confidence: 99%
“…Tensor decomposition of the electron repulsion integrals (ERIs) has been of remarkable interest in modern computational chemistry . The most common ERI decomposition method is density fitting (DF) . In the DF technique, the four‐index ERIs are written in terms of three‐index DF factors.…”
Section: Introductionmentioning
confidence: 99%
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“…42 One of the most common approximation for the tensor factorization of the electron repulsion integrals (ERIs) is the density fitting (DF) technique. 22,23,[30][31][32][43][44][45][46][47][48][49][50][51][52][53][54][55][56] With the help of the DF technique, one can express the four-dimensional ERIs in terms of three-dimensional tensors. In addition to to DF, the partial Cholesky decomposition (CD) of the ERI tensor is also commonly employed as a tensor decomposition approach.…”
Section: Introductionmentioning
confidence: 99%