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to consider multidimensional landscapes. The goal of this research project is to develop models that can be used to evaluate the stability and predict transitions as cell populations progress from pluripotent
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properties. While our focus is on industrially important fluids, such as fuels and refrigerants, we also welcome proposals that would yield data primarily intended for model development, such as studies
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301.975.3507 Description Recent developments in Artificial Intelligence (AI) have allowed machine learning models to solve certain complex problems in natural language processing and other areas at large scales
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developing the measurement infrastructure to acquire fundamental property data related to the capture and release of difficult to detect drugs or drug metabolites. We will then design, develop, and
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are particularly interested in developing and characterizing hybrid quantum systems (interfaces between dissimilar physical media), suitable for quantum information purposes, and exotic sources of faint light
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identification of spectral features by computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular
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microfluidic networks.Our goal is to develop systems that enable accurate, high-throughput, and dynamic measurement of materials in flow, which will, for example, improve the ability to specify composition and
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are developing high order integral equation methods and numerical tools for computational electromagnetics. This research focuses on the frequency domain electromagnetic field solvers that involve automatic
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. This research aims to develop the label-free chemical imaging method to investigate the microscopic structure and composition of new biomaterials and smart polymers via collaboration with material scientists and
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activated defect evolution, material damping, and temperature dependence of physical properties of piezoelectric materials. During the past two decades, innovative single-crystalline piezoelectric materials