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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Application of Artificial Intelligence Techniques for Acquisition and Analysis of
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information and insight from existing data). Additionally, development of data processing and visualization approaches to advance the ability to identify changes and trends in a drug market are also of
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analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior physics knowledge into the data analysis
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analysis from laboratory and synchrotron x-ray diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation
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substrate specificities, in next-generation computational metabolomics analysis pipelines. Keywords metabolomics; mass spectrometry; neural networks; algorithms; machine learning; cheminformatics
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. Chang, J. Melby, Y. J. Kim, D. Davis, Y. J. Lee , Quantum Cascade Laser Infrared Spectroscopy for Glycan Analysis of Glycoproteins, Anal. Chem. 96 , 13120 (2024). Keywords Infrared Spectroscopy; Gene
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been applied to cells, tissues, and biomaterials. Our interest in further development is two-fold: (1) Numerical processing and analysis methods for extraction of actionable information from the rich
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measure the impedance of planar thin-film-based structures at frequencies up to 100 GHz. When combined with more traditional impedance analysis at lower frequencies, we can obtain frequency-dependent
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combines atomic force microscopy (AFM) with IR spectroscopy thus enabling IR analysis with a spatial resolution 5-10 nm (i.e. well below the diffraction limit of IR light). This enables determining chemical
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hardware noise contribution to the overall fidelity and gate performance to inform the control circuit design and the signal-chain engineering. We will focus on an in-depth analysis of the correlations