Description
Chair: Magdalena Kowalska
A short overview of our recent results developing methods for determining structure and dynamics in materials and molecular solids will be provided. These include machine learning approaches to NMR crystallography, new methods for obtaining high resolution 1H spectra in solids, and concepts for hyperpolarisation of inorganic materials.
NMR cristallography is gaining traction as a tool to achieve structure determination for molecular materials, but it relies on computationally-demanding electronic structure calculations to estimate the chemical shieldings of candidate structures.
Here I discuss the construction of a machine-learning model trained on electronic-structure data, that can predict accurately chemical shieldings...
An overview over the research activities in proton-detected fast-MAS will be provided