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, robotics), cyberinfrastructure (e.g., databases, high-performance computing, collaboration tools), and humans (e.g., scientists, engineers, students, managers). The recent interest in Explainable AI (XAI
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Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
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development of RF MEMS/NEMS resonators. Several resonator geometries are being developed that combine low-loss mechanical design, unique materials, and electrostatic, electrothermal, and piezoelectric actuation
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used to construct custom geometries. Arthritic disease states are induced with lipopolysaccharide and glucose. Osteoporotic states are induced by knock out. Mechanisms of disease and repair will be
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Digital Image Correlation (DIC) to study the non-equilibrium dynamic response of soft polymers and to explore non-uniaxial stress and strain states by testing novel sample geometries that otherwise could
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approval, we seek to develop methods to measure local stress states in benchmark constriction-flow geometries that lead to blood damage. For example, we seek improvements in flow-field imaging, flow
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matrix composites. We are particularly interested in the role of particle filler fraction, size, and geometry of filler on the interfacial properties and their relationships to overall toughness and impact
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, constraint programming, Bayesian methods, sparse kernel machines, graphical models, and deep learning. Some examples of materials classes of interest for this project are photovoltaic, thermoelectric
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This program involves multimodal imaging techniques that use magnetic resonance imaging (MRI) as either a base or as a complimentary technique. Multimodal imaging combines information from two or more imaging
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simulation techniques. In addition, simulations and examination of the overall separation process may require computational studies across multiple length scales. key words Modeling; Nanotube; Molecular