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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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molecular dynamic calculations) will be needed to develop these types of models. Some of the complex material systems of interest are metallic glasses, nanocrystalline metals, hydrogen storage materials
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; signal averaging can be used to optimize signal-to-noise ratios; a wide range of molecular masses is accessible; and the sample can be gas, liquid, or solid. Despite these advantages, the use of NMR