Implementation of a Hybrid DFT Method for Calculating NMR Shieldings Using Slater-Type Orbitals with Spin−Orbital Coupling Included. Applications to <sup>187</sup>Os, <sup>195</sup>Pt, and <sup>13</sup>C in Heavy-Metal Complexes
Bibliographic record
Abstract
We report on the implementation of an algorithm for the calculation of the NMR shielding tensor. Our scheme is based on the Hartree-Fock method and the zeroth-order regular approximation (ZORA) Hamiltonian with spin-orbital coupling included. Gauge-including atomic orbitals (GIAOs) are employed to ensure the origin invariance of the results. Unlike the previous implementation by Fukui and Baba [J. Chem. Phys. 2002, 117, 7836], our computational scheme makes use of Slater-type orbitals. We have employed this method in B3LYP calculations of the (13)C, (195)Pt, and (187)Os NMR chemical shifts in 5d metal carbonyls, Pt(II) square-planar complexes, and osmium phosphines, respectively. The calculated NMR chemical shifts are compared to the results obtained with the BP86 and BLYP functionals, as well as the Hartree-Fock method. Comparisons are also given to experimental values. For the (195)Pt chemical shifts, we have found a small improvement with respect to experiment for the B3LYP results over the BP86 and BLYP values. For the other systems, use of the B3LYP method does not improve the agreement with experiment compared to results from pure functionals such as BP86 and BLYP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".