Role of internal motions and molecular geometry on the NMR relaxation of hydrocarbons

P. M. Singer, D. Asthagiri, Z. Chen, A. Valiya Parambathu, G. J. Hirasaki, W. G. Chapman

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

The role of internal motions and molecular geometry on 1H NMR relaxation rates in liquid-state hydrocarbons is investigated using MD (molecular dynamics) simulations of the autocorrelation functions for intramolecular and intermolecular 1H-1H dipole-dipole interactions. The effects of molecular geometry and internal motions on the functional form of the autocorrelation functions are studied by comparing symmetric molecules such as neopentane and benzene to corresponding straight-chain alkanes n-pentane and n-hexane, respectively. Comparison of rigid versus flexible molecules shows that internal motions cause the intramolecular and intermolecular correlation-times to get significantly shorter, and the corresponding relaxation rates to get significantly smaller, especially for longer-chain n-alkanes. Site-by-site simulations of 1H's across the chains indicate significant variations in correlation times and relaxation rates across the molecule, and comparison with measurements reveals insights into cross-relaxation effects. Furthermore, the simulations reveal new insights into the relative strength of intramolecular versus intermolecular relaxation as a function of internal motions, as a function of molecular geometry, and on a site-by-site basis across the chain.

Original languageEnglish
Article number164507
JournalJournal of Chemical Physics
Volume148
Issue number16
DOIs
StatePublished - Apr 28 2018
Externally publishedYes

Funding

This work was funded by the Rice University Consortium on Processes in Porous Media and the American Chemical Society Petroleum Research Fund (No. ACS-PRF-58859-ND6). We gratefully acknowledge the National Energy Research Scientific Computing Center, which is supported by the Office of Science of the U.S. Department of Energy (No. DE-AC02-05CH11231), for HPC time and support. We also gratefully acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin (URL: http://www.tacc.utexas.edu) for providing HPC resources and the reviewers for their helpful comments.

FundersFunder number
National Energy Research Scientific Computing Center
U.S. Department of Energy
Office of Science
American Chemical Society Petroleum Research Fund

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