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Consortium led to the development of the first NIST RMs in this class, with widely-used benchmark germline variant calls for seven human cell lines [1]. Artificial intelligence and machine learning hold
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, economics, and all branches of science. Current concerns include the development and analysis of algorithms for the solution of problems of estimation, simulation and control of complex systems, and their
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technologies. Research interests include (1) development of novel approaches for the non-target screening of complex chemical systems; (2) fundamental research of HRAM-MS technologies and affiliated hyphenated
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on fundamental constants in the development of quantum electrical standards. The FEM group uses physical laws, quantum invariants, and ultra-precision measurement techniques to create and refine a core set of
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within the Radioactivity Group at NIST addresses some of these hurdles in an effort to provide the foundations for absolute quantitation in imaging. NIST pioneered the development of long-lived calibration
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key component at this stage will be the development of quantum characterization protocols for spin qubits in the presence of time-correlated noise, as well as reliable tools for simulating the quantum
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sample preparation equipment (including cross-sections) and also an ability to fabricate prototype devices using electron lithography. The current topics of interest include the process development and
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double-crystal diffraction instrument combined with a high-power, demountable x-ray source and a vacuum compatible hybrid pixel area detector. Decades of development of instrumentation for cutting edge x
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physiologically relevant in vitro 3D cell cultures with controlled expressions of endogenous biomarkers; (4) development of optical measurement techniques and standards for quantitative characterization
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been in development over the past 15+ years and their capabilities have grown significantly. An important effort within the LPBF community is the use of high-fidelity multiphysics models to predict melt