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of complex mixture analysis by NMR spectroscopy. We are particularly interested in the application of NMR spectroscopy to the analysis of mixtures with multiple phases. For example, high-accuracy vapor
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neighboring image information has to be viewed from multiple viewpoints; (3) automation of image processing and its validation are necessary tasks for coping with image volumes; and (4) images need to be shared
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absorption fine structure), development of data-analysis approaches and computer software for simultaneous structural refinements using multiple types of data combined with ab initio theoretical modeling
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to precisely verify circuit performance and validate model accuracy for these complex microelectronic systems, which often consist of multiple device layers stacked together to achieve higher levels
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, the parameter adjustments are usually performed in a brute-force manner, without considerations of nonlinear coupling between multiple parameters. As a result, the models (that reproduce the data that they were
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, but should also provide guidance for controlling complex systems. Since performance of complex systems is characterized by multiple competing criteria, which include economic efficiency, resilience, and
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market value. Multiple disciplines will be considered, including engineering (e.g., civil, industrial, operations research, computer science), economics (applied, micro, macro), social sciences (e.g
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at multiple length scales, and synchrotron ultra-small-angle X-ray scattering. Correlations will also be made between microstructure and materials property measurements (hardness, tensile, fatigue, etc.) see
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]S. Guo et al. Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons. Phys. Rev. Research 4, 023163 (2022). machine learning; artificial intelligence
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interactions, and phonon confinement effects. Therefore, it is important to understand phonon propagation in nanomaterial systems at multiple length and temporal scales for which we need a robust mathematical