Ab initio spin dynamics for nuclear magnetic resonance

Nuclear magnetic resonance is a crucial experimental technique used in many research fields ranging from structural analyses of materials and biological molecules to magnetic resonance imaging as fundamental medical method of diagnosis. Up to now, however, it has not yet been possible to compute the spin dynamics using only geometrical input, i.e., the atomic positions, because due to the long-range dipolar interactions of the spins, generically, very many spins are involved. Hence, the time evolution cannot be computed by exact brute force techniques. In this respect, Dr. Timo Gräßer, Prof. Matthias Ernst, both from ETH Zürich, and Prof. Götz S. Uhrig, from TU Dortmund University, achieved a breakthrough by employing the spin dynamic mean-field theory (spinDMFT) to describe the complex phenomenon of spin diffusion between different atoms in a quantitative way. The basics of spinDMFT had been recently developed in the doctoral project of Timo Gräßer, then also at TU Dortmund University. As spinDMFT combines low computational effort with high accuracy, it is suggested to use it fruitfully for further large-scale simulations of magnetic resonance phenomena.



![3D visualisation of human neuronal tissue reconstructed by multi-scale X-ray phase contrast tomography. Neuronal cell nuclei are shown in yellow for the granule neurons in the dentate gyrus region of the hippocampus. Blood vessels are shown in red. By changing the X-ray optical magnification in the multi-scale recordings, one can zoom into regions-of-interest (red ovals). In these scans the resolution is high enough to resolve sub-structures of the nucleus, associated with different DNA packing regimes. Adapted from [6]](/storages/physik/_processed_/e/4/csm_Kolloquium_Salditt_0e30a3f090.png)




