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引用次数: 0
摘要
势能中受限扩散的简单物理模型通常基于刚性边界内的自由扩散或相对简单的连续势能面中的扩散,这些模型为核磁共振自旋弛豫提供了重要见解。锥形扩散模型就是前者的一个例子,而 N 倍余弦势中的扩散则是后者的一个例子。本研究通过分别以傅里叶或球面谐波数列展开势能,为圆锥或球面上任意势能函数的受限扩散建立模型。结果显示了广义阶次参数和有效相关时间之间的简单关系,这对分析实验自旋弛豫数据至关重要,并说明了多孔势中从类似扩散行为到类似跃迁行为的过渡。
Breaking down walls: Continuous potential models for internal motions in NMR spin relaxation
Simple physical models for restricted diffusion in a potential, which provide important insights for NMR spin relaxation, usually are based on free diffusion within rigid boundaries or diffusion in relatively simple continuous potential energy surfaces. The diffusion-in-a-cone model is an example of the former and diffusion in an -fold cosine potential is an example of the latter. The present work models restricted diffusion for arbitrary potential energy functions on the surface of a cone or a sphere, by expanding the potentials in Fourier or spherical harmonic series, respectively. The results exhibit simple relationships between generalized order parameters and effective correlation times, critical for analysis of experimental spin relaxation data, and illustrate the transition from diffusive-like to jump-like behavior in multi-well potentials.
期刊介绍:
The Journal of Magnetic Resonance presents original technical and scientific papers in all aspects of magnetic resonance, including nuclear magnetic resonance spectroscopy (NMR) of solids and liquids, electron spin/paramagnetic resonance (EPR), in vivo magnetic resonance imaging (MRI) and spectroscopy (MRS), nuclear quadrupole resonance (NQR) and magnetic resonance phenomena at nearly zero fields or in combination with optics. The Journal''s main aims include deepening the physical principles underlying all these spectroscopies, publishing significant theoretical and experimental results leading to spectral and spatial progress in these areas, and opening new MR-based applications in chemistry, biology and medicine. The Journal also seeks descriptions of novel apparatuses, new experimental protocols, and new procedures of data analysis and interpretation - including computational and quantum-mechanical methods - capable of advancing MR spectroscopy and imaging.