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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization Location
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in obtaining reliable, rapid structural measurements of these macromolecules in their native aqueous formulations, we are developing advanced vibrational spectroscopic techniques that overcome these
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ability to form cocrystals with small gas molecules (e.g., CH4, C2H6, CO2). These materials undergo guest-induced structural transformations, offering a unique mechanism for high-density gas storage and
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measurements with other techniques including fluorescence and neutron scattering. We are especially interested in investigating structural and molecular attributes that control diffusion of water
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Laboratory, Materials and Structural Systems Division opportunity location 50.73.11.B5285 Gaithersburg, MD NIST only participates in the February and August reviews. Advisers name email phone Xiaohong Gu
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Liddle [email protected] 301.975.6050 Jan Obrzut [email protected] 301.975.6845 Description As part of a collaborative NIST-wide program involving structural characterization, modeling, and high
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interfacial processes. A primary objective of our research involves characterizing surface and/or molecular chemical and structural characteristics under changing environmental conditions and correlating
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development and optimization. This information is predominantly coming from scientific publications. Thousands of papers are published in this field every year, and the publication rate is constantly