ans it i g ec lida three-dimensional examples.) nucle comm rials [ tion. However, for large scale models of porous systems, finding even a moderate number of Laplacian eigenfunctions is in itself a challenging problem. The commonly used numerical techniques involve a discretization of the domain that results in a large size matrix representation of the Laplace operator. The eigenvalues and eigenfunctions of this matrix are then obtained by iterative where D denotes the Laplace operator, D the self-diffusion coeffi-cient, c the gyromagnetic ratio, g the gradient strength and BðrÞ the normalized spatial gradient profile which is assumed to be lin-ear and directed in the x-direction: BðrÞ ðex rÞ x. For simplicity the relaxation of the spins...
Following our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex...
We compute the complete spectrum of the displacement Hessian operator, which is obtained from the co...
International audienceWe discuss some challenges and recent advances in understanding the macroscopi...
International audienceThe complex transverse water proton magnetization subject to diffusion-encodin...
Porous systems are investigated using eigendecomposition of the Laplace matrix. Three parameters; to...
In this thesis diffusion in heterogeneous materials is studied using spectral analysisof the Laplace...
ABSTRACT: A geometrical confinement considerably affects the diffusive motion of the nuclei and the ...
ABSTRACT: In this article, theoretical advances in the study of restricted diffusion in NMR that hav...
International audienceAbstract Objective . The complex-valued transverse magnetization due to diffus...
We present a computational framework for isolating spatial patterns arising in the steady states of ...
In this article we present a computational framework for isolating spatial patterns arising in the s...
We propose a flexible machine-learning framework for solving eigenvalue problems of diffusion operat...
We present recent advances in studying the dynamics of nuclei diffusing in a bounded domain with a (...
Linear or Gaussian scale space is a well known multi-scale representation for continuous signals. Ho...
Linear or Gaussian scale space is a well known multi-scale representation for continuous signals. Ho...
Following our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex...
We compute the complete spectrum of the displacement Hessian operator, which is obtained from the co...
International audienceWe discuss some challenges and recent advances in understanding the macroscopi...
International audienceThe complex transverse water proton magnetization subject to diffusion-encodin...
Porous systems are investigated using eigendecomposition of the Laplace matrix. Three parameters; to...
In this thesis diffusion in heterogeneous materials is studied using spectral analysisof the Laplace...
ABSTRACT: A geometrical confinement considerably affects the diffusive motion of the nuclei and the ...
ABSTRACT: In this article, theoretical advances in the study of restricted diffusion in NMR that hav...
International audienceAbstract Objective . The complex-valued transverse magnetization due to diffus...
We present a computational framework for isolating spatial patterns arising in the steady states of ...
In this article we present a computational framework for isolating spatial patterns arising in the s...
We propose a flexible machine-learning framework for solving eigenvalue problems of diffusion operat...
We present recent advances in studying the dynamics of nuclei diffusing in a bounded domain with a (...
Linear or Gaussian scale space is a well known multi-scale representation for continuous signals. Ho...
Linear or Gaussian scale space is a well known multi-scale representation for continuous signals. Ho...
Following our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex...
We compute the complete spectrum of the displacement Hessian operator, which is obtained from the co...
International audienceWe discuss some challenges and recent advances in understanding the macroscopi...