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of prior physics knowledge into the data analysis, including both physics theory and databases of experimental and computational materials property data. We currently run 10 diverse autonomous platforms
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merely leads to large data files but limited information about the environment it seeks to represent. This project seeks to (1) investigate the use of commercial off the shelf optical components such as
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, the property information demand from industry is much larger than the current rate of experimental data production. Consequently, there is an obvious need for accurate methods that can predict viscosity
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–structure–property relationship by data fusion: Bayesian co-regionalization N-dimensional piecewise function learning. Digital Discovery, 3(11), pp.2211-2225. Materials Genome Initiative; Machine learning
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This research aims to study the formalization of information processes and systems, using modern approaches and techniques from mathematics. Distinct entities, each having its own database, ontology, or other
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of data relevant to forensic science disciplines. A need exists to gain a deeper understanding of instrument responses (i.e. mass spectral or spectroscopic data) obtained from samples such as street drugs
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; and (2) experiments devoted to studies of quantum-state engineering and entanglement with application to quantum-information processing, quantum simulation, spectroscopy, and tests of quantum mechanics
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Kumar Banerjee dilip.banerjee@nist.gov 301.975.3538 Description The use of lightweight materials in vehicles will significantly increase fuel efficiency and cut emissions, but the auto industry lacks data
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understanding of materials. For communications technology, the lack of acoustic data limits the design of acoustic filter technology. For pharmaceuticals and chemical manfucaturers, there are important relaxation
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and Raman spectroscopy are used in some cases. Results are often compared with predictions of first-principles calculations. Information is obtained on interatomic and intermolecular forces; crystal