Diffusion NMR experiments are very useful in studying structural and dynamical properties of molecules and in sorting out components from mixtures. A number of numerical approaches have been developed for the processing of diffusion NMR data. In this paper, numerical problems of the direct regularization methods such as CONTIN, MaxEnt, and the newly proposed ITAMeD approach are illustrated by analyzing simulated and experimental data. It allows us to further develop a new method to calculate the distribution of diffusion coefficients. Therefore, we present here an iterative regularization method based on the Trust-Region Algorithm for the Inversion (TRAIn) of molecular diffusion NMR data. It is demonstrated in this paper that our approach o...
This thesis focuses on the development of inverse methods for nuclear magnetic res- onance (NMR) cor...
NMR is a powerful non-invasive technique utilizing radiofrequency and gradient pulses to manipulate ...
International audiencePulsed Gradient Spin Echo (PGSE) diffusion NMR experiments constitute a powerf...
The analysis of diffusion NMR data in terms of distributions of diffusion coefficients is hampered b...
Nuclear magnetic resonance (NMR) is currently one of the main analytical techniques applied in numer...
Diffusion nuclear magnetic resonance (NMR) is a powerful technique for studying porous media, but yi...
A new method of regularization of 1D and 2D NMR relaxation and diffusion experiments is proposed and...
This paper has three independent parts. First, Torrey's treatment of molecular diffusion in NMR is d...
Diffusion-ordered NMR spectroscopy (DOSY) presents an essential tool for the analysis of compound mi...
In addition to increasing throughput, increasing the speed of NMR diffusion measurements extends the...
NMR diffusion measurements (or dNMR) provide a powerful tool for analysis of solution organization a...
Abstract Nuclear magnetic resonance with diffusion‐ordered spectroscopy (DOSY) serves as an importan...
A novel NMR approach allows one to efficiently determine translational diffusion coefficients of mac...
Many studies have shown that the magnetic resonance signal decay with an extend range of diffusion w...
Diffusion-relaxation correlation NMR can simultaneously characterize both the microstructure and the...
This thesis focuses on the development of inverse methods for nuclear magnetic res- onance (NMR) cor...
NMR is a powerful non-invasive technique utilizing radiofrequency and gradient pulses to manipulate ...
International audiencePulsed Gradient Spin Echo (PGSE) diffusion NMR experiments constitute a powerf...
The analysis of diffusion NMR data in terms of distributions of diffusion coefficients is hampered b...
Nuclear magnetic resonance (NMR) is currently one of the main analytical techniques applied in numer...
Diffusion nuclear magnetic resonance (NMR) is a powerful technique for studying porous media, but yi...
A new method of regularization of 1D and 2D NMR relaxation and diffusion experiments is proposed and...
This paper has three independent parts. First, Torrey's treatment of molecular diffusion in NMR is d...
Diffusion-ordered NMR spectroscopy (DOSY) presents an essential tool for the analysis of compound mi...
In addition to increasing throughput, increasing the speed of NMR diffusion measurements extends the...
NMR diffusion measurements (or dNMR) provide a powerful tool for analysis of solution organization a...
Abstract Nuclear magnetic resonance with diffusion‐ordered spectroscopy (DOSY) serves as an importan...
A novel NMR approach allows one to efficiently determine translational diffusion coefficients of mac...
Many studies have shown that the magnetic resonance signal decay with an extend range of diffusion w...
Diffusion-relaxation correlation NMR can simultaneously characterize both the microstructure and the...
This thesis focuses on the development of inverse methods for nuclear magnetic res- onance (NMR) cor...
NMR is a powerful non-invasive technique utilizing radiofrequency and gradient pulses to manipulate ...
International audiencePulsed Gradient Spin Echo (PGSE) diffusion NMR experiments constitute a powerf...