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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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. The capabilities of single-photon detectors have a major impact on what is and is not feasible in developing new quantum technologies. We are interested in expanding the capabilities of single-photon detectors, and
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corrected for, the noise and drift can directly affect not only the initial calibration of qubits, but also the coherence times and, ultimately, fidelities of the quantum control and readout operations
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RAP opportunity at National Institute of Standards and Technology NIST Computational Investigation of Carbon Capture Materials Location NIST Center for Neutron Research opportunity location
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certainly impact the design of inhibitors towards ERK1/2. We have only scratched the surface of this important problem, and our discoveries to date now set the stage for deeper examination. Needed are further
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critical to a variety of soft material applications ranging from sustainability to impact mitigation. The polymer chemistry and structure of these entangled materials are essential to defining
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are affected by subtle changes in molecular weight, dielectric constant, charge valence, ionic strength, and charge density. The perturbation of the structure and dynamics at solid-liquid interfaces is poorly
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solid angle counting, as well as atom counting methods such as cavity ringdown spectroscopy. A potential scientific impact would be to combine atom counting with decay counting on the same sample
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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Computational Investigation of Flexible Metal-Organic Framework Materials for Gas Storage and Separation NIST only participates in the February and August reviews. Flexible metal-organic frameworks