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A J Sederman

Showing results (31-40 of 45) with videos related to

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Chemical Communications (Cambridge, England)|November 16, 2021
A simple liquid state <sup>1</sup>H NMR measurement to directly determine the surface hydroxyl density of porous silicaC Penrose, P Steiner, L F Gladden, et al.
Magnetic Resonance Imaging|July 10, 2003
In situ magnetic resonance measurement of conversion, hydrodynamics and mass transfer during single- and two-phase flow in fixed-bed reactorsL F Gladden, P Alexander, M M Britton, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|May 13, 2015
Characterising the rheology of non-Newtonian fluids using PFG-NMR and cumulant analysisT W Blythe, A J Sederman, J Mitchell, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|November 28, 2017
Validation of a low field Rheo-NMR instrument and application to shear-induced migration of suspended non-colloidal particles in Couette flowA A Colbourne, T W Blythe, R Barua, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|January 30, 2014
Interfacial tension measurements using MRI drop shape analysisR Hussain, S J Vogt, A Honari, et al.
Soft Matter|March 23, 2016
Gravitational collapse of depletion-induced colloidal gelsR Harich, T W Blythe, M Hermes, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|September 11, 2009
Quantitative single point imaging with compressed sensingP Parasoglou, D Malioutov, A J Sederman, et al.
Physical Review. E|March 19, 2021
Characterizing pore-scale structure-flow correlations in sedimentary rocks using magnetic resonance imagingK Karlsons, D W de Kort, A J Sederman, et al.
Journal of Microscopy|October 7, 2019
Identification of sampling patterns for high-resolution compressed sensing MRI of porous materials: 'learning' from X-ray microcomputed tomography dataK Karlsons, D W DE Kort, A J Sederman, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 9, 2014
Nuclear magnetic resonance measurements of velocity distributions in an ultrasonically vibrated granular bedJ M Huntley, T Tarvaz, M D Mantle, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Chemical Communications (Cambridge, England)|November 16, 2021
A simple liquid state <sup>1</sup>H NMR measurement to directly determine the surface hydroxyl density of porous silicaC Penrose, P Steiner, L F Gladden, et al.
Magnetic Resonance Imaging|July 10, 2003
In situ magnetic resonance measurement of conversion, hydrodynamics and mass transfer during single- and two-phase flow in fixed-bed reactorsL F Gladden, P Alexander, M M Britton, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|May 13, 2015
Characterising the rheology of non-Newtonian fluids using PFG-NMR and cumulant analysisT W Blythe, A J Sederman, J Mitchell, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|November 28, 2017
Validation of a low field Rheo-NMR instrument and application to shear-induced migration of suspended non-colloidal particles in Couette flowA A Colbourne, T W Blythe, R Barua, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|January 30, 2014
Interfacial tension measurements using MRI drop shape analysisR Hussain, S J Vogt, A Honari, et al.
Soft Matter|March 23, 2016
Gravitational collapse of depletion-induced colloidal gelsR Harich, T W Blythe, M Hermes, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|September 11, 2009
Quantitative single point imaging with compressed sensingP Parasoglou, D Malioutov, A J Sederman, et al.
Physical Review. E|March 19, 2021
Characterizing pore-scale structure-flow correlations in sedimentary rocks using magnetic resonance imagingK Karlsons, D W de Kort, A J Sederman, et al.
Journal of Microscopy|October 7, 2019
Identification of sampling patterns for high-resolution compressed sensing MRI of porous materials: 'learning' from X-ray microcomputed tomography dataK Karlsons, D W DE Kort, A J Sederman, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 9, 2014
Nuclear magnetic resonance measurements of velocity distributions in an ultrasonically vibrated granular bedJ M Huntley, T Tarvaz, M D Mantle, et al.
Pageof 5