Yuriy Yu. Rusakov, Yuliya A. Nikurashina and Irina L. Rusakova
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Going beyond the routine consideration of solvent effects on 31P NMR shielding constants: a meticulous basis set study and new aug-pecS-n (n = 1 and 2) basis sets for phosphorus atoms†
In this paper, we demonstrate that the accuracy of calculated solvent corrections to 31P NMR shielding constants of various phosphorus-containing molecules significantly depends on the basis set used. The highly positive role played by diffuse functions was revealed not only for the solvent corrections but also for phosphorus NMR shielding constants of anions. Considering this matter, the augmentation in shift-oriented pecS-n (n = 1 and 2) basis sets for phosphorus atoms with diffuse functions was carried out using the property-energy consistent (PEC) method with isotropic dipole polarizability used as the main target property, which is the first example of such augmentation of basis sets. Alongside other augmented basis sets of different types and qualities, the new aug-pecS-n (n = 1 and 2) basis sets were shown to significantly improve the accuracy of solvent corrections to the 31P NMR shielding constants of neutral molecules and phosphorus shielding constants of anions compared with their non-augmented analogs. Finally, comparison with available experimental data corroborated our theoretical findings.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.