Finite difference diagonalization to simulate nuclear magnetic resonance diffusion experiments in porous media
A finite difference approach for computing Laplacian eigenvalues and eigenvectors in discrete porous media is derived and used to approximately solve the Bloch–Torrey equations. Neumann, Dirichlet, and Robin boundary conditions are considered and applications to simulate nuclear magnetic resonance d...
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Published in | Concepts in magnetic resonance. Part A, Bridging education and research Vol. 44; no. 3; pp. 160 - 180 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Blackwell Publishing Ltd
01.05.2015
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Subjects | |
Online Access | Get full text |
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Summary: | A finite difference approach for computing Laplacian eigenvalues and eigenvectors in discrete porous media is derived and used to approximately solve the Bloch–Torrey equations. Neumann, Dirichlet, and Robin boundary conditions are considered and applications to simulate nuclear magnetic resonance diffusion experiments are shown. The method is illustrated with MATLAB examples and computational tests in one and two dimensions and the extension to three dimensions is outlined. © 2015 Wiley Periodicals, Inc. Concepts Magn Reson Part A 44A: 160–180, 2015. |
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Bibliography: | Stanford School of Earth, Energy, and Environmental Sciences ark:/67375/WNG-VHZKRB3J-F istex:13A44B894350F66F500887E3D3E3FA47E796CAD8 ArticleID:CMRA21349 Wallenberg Foundation |
ISSN: | 1546-6086 1552-5023 |
DOI: | 10.1002/cmr.a.21349 |