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the possibility of accelerating materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML
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highly selective chemical separations. Our group is working on a dual-track project to expand this class of materials, and the successful candidate will contribute to either the computational
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and physiological conditions. The study of proteins/peptides comprises a diverse range of approaches aimed at the identification, characterization, and quantification of proteins in simple and complex
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cultured in modern microbiology laboratories. Without the ability to study these organisms in the laboratory, our understanding of microbial communities remains incomplete and many biological molecules
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calibration exist. The Nuclear Medicine Project within the Radioactivity Group at NIST addresses some of these hurdles in an effort to provide the foundations for absolute quantitation in imaging. NIST
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detect or study drugs and drug metabolites. These compounds may be difficult to detect because of their chemistry, their concentrations, or how they are metabolized in the body. We aim to aid law
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feedback for the design of entirely new materials. We currently apply these broadband measurement techiques to study thin-film material systems such as dielectrics, ferroelectrics, multiferroics