Literature DB >> 28120964

Prediction of low-field nuclear singlet lifetimes with molecular dynamics and quantum-chemical property surface.

Pär Håkansson1.   

Abstract

Molecular dynamics and quantum chemistry methods are implemented to quantify nuclear spin-1/2 pair singlet-state relaxation rates for three molecular systems at low magnetic field and room temperature. Computational methodology is developed for weak interactions, particularly important for singlet states at low field. These include spin-rotation and spin-internal-motion effects, which describe the coupling of the spin-carrying nuclei to fluctuating local magnetic fields induced by the overall and internal molecular fluctuations, respectively. A high-dimensional tensor property surface using Kriging interpolation is developed to circumvent costly quantum-chemical calculations. Together with the intramolecular dipolar relaxation, all the simulated relaxation mechanisms are accounted for with a common theoretical framework. Comparison with experiment indicates that quantitative accuracy is obtained, sufficient to enable guidance in the molecular design of molecules with long-lived singlet order.

Entities:  

Year:  2017        PMID: 28120964     DOI: 10.1039/c6cp08394c

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  3 in total

1.  Magnetization Lifetimes Prediction and Measurements Using Long-Lived Spin States in Endogenous Molecules.

Authors:  F Teleanu; C Tuță; A Cucoanes; S Vasilca; P R Vasos
Journal:  Molecules       Date:  2020-11-24       Impact factor: 4.411

2.  Experimental evidence for the role of paramagnetic oxygen concentration on the decay of long-lived nuclear spin order.

Authors:  Bryan Erriah; Stuart J Elliott
Journal:  RSC Adv       Date:  2019-07-29       Impact factor: 4.036

3.  Brownian Translational Dynamics on a Flexible Surface: Nuclear Spin Relaxation of Fluid Membrane Phases.

Authors:  Pär Håkansson; Tom Boirin; Juha Vaara
Journal:  Langmuir       Date:  2018-03-14       Impact factor: 3.882

  3 in total

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