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    Willie E. May

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    WILLIE E. MAY NBS/NIST: 1971-2017 INDUCTED: 2017 Birth: 10 September 1947, Dozier, Alabama EDUCATION: Knoxville College, BS (Chemistry), 1968 University of Maryland, PhD (Chemistry), 1977 CITATION: For scientific and leadership excellence at every level from bench scientist to Group Leader, Division Chief, Laboratory Director, and NIST Director. POSITIONS HELD AT NBS/NIST: Research Chemist, Center for Analytical Chemistry, 1971-1978 Group Leader and Chief, Organic Analytical Research Division, 1978-1994 Chief, Analytical Chemistry Division, 1994-2004 Director, Chemical Science and Technology and Material Measurement Laboratories, 2004-2011 Deputy Director and Associate Director for Laboratory Programs, 2011-2015 Undersecretary of Commerce for Standards and Technology and Director of NIST, 2015-2017 HONORS: NBS Bronze Medal (1981) and NBS EEO Award (1982) U.S. Department of Commerce Silver Medal (1985) and Gold Medal (1992) Arthur Flemming Award for Outstanding Federal Service (1986) Presidential Rank Award of Meritorious Federal Executive (1992) American Chemical Society Distinguished Service for Advancement of Analytical Chemistry (2001) Science Spectrum Magazine Emerald Award (2005) Alumnus of the Year Award, College of Chemical and Life Sciences, University of Maryland (2007) Knoxville College Alumni Hall of Fame (2010) Fellow, American Chemical Society (2011) Honorary Doctor of Science, Wake Forest University (2012) and University of Alabama Huntsville (2016) Federal Laboratory Consortium Director of the Year (2016) American Chemical Society Public Service Award (2017) MEMBERSHIPS: American Chemical Society American Association for the Advancement of Science Vice President CIPM and President, CIPM’s Consultative Committee on Metrology in Chemistry and Biology Advisory Boards for: UK’s National Physical Laboratory; China’s National Institute for Metrology; Japan’s AIST PUBLICATIONS: More than 90 publications including: May, W.E., Chesler, S.N., Cram, S.P., Gump, B.H., Hertz, H.S., Enagonio, D.P., and Dyszel, S.M., "Chromatographic Analysis of Hydrocarbons in Marine Sediments and Sea Water," J. Chromatog. Sci. 13, 535-540 (1975) May, W.E., Wasik, S.P., and Freeman, D.H., "The Aqueous Solubility Behavior of Polycyclic Aromatic Hydrocarbons," Anal. Chem. 50, 997 (1978) Sonnefeld, W.J., Zoller, W.H., and May, W.E., "A Dynamic Coupled-Column Liquid Chromatographic Method for Determination of Vapor Pressures of Organic Compounds," Anal. Chem. 55, 275-280 (1983) May, W. E. and Wise, S. A., "Liquid Chromatographic Determination of Polycyclic Aromatic Hydrocarbons in Air Particulate Extracts," Anal. Chem. 56, 225-232 (1984) Foley, J.P. and May, W.E., "Optimization of Secondary Chemical Equilibria in Liquid Chromatography: Theory and Verification," Anal. Chem. 59, 102-109 (1987) Plant, A.L., Locascio, L.E., May, W.E., Gallagher, P.D., "Improved Reproducibility by Assuring Confidence in Measurements in Biomedical Research," Nature Metho ds Commentary, 11(9) (Sept 2014

    A view of part of the NIST stone wall

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    A view of part of the NIST stone wall was built using 2,352 stones from 47 US states and 320 from 16 foreign countries. The wall is approximately 12 m long, 4 m high, 0.6 m thick at the bottom, and 0.3 m at the top. The aim of the wall construction was to study the aging process of stones used in construction under outside weathering conditions

    Close-up on light red limestone from Morrison, Colorado, a sample set in the NIST stone wall

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    The NIST stone wall was built using 2,352 stones from 47 US states and 320 from 16 foreign countries. The wall is approximately 12 m long, 4 m high, 0.6 m thick at the bottom, and 0.3 m at the top. The aim of the wall construction was to study the aging process of stones used in construction under outside weathering conditions

    Mass Spectra of Sulfonephthalein pH Indicator Dyes and Their Impurities

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    (dataset

    mumpce_py: A Python Implementation of the Method of Uncertainty Minimization Using Polynomial Chaos Expansions

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    The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) was developed as a software tool to constrain physical models against experimental measurements. These models contain parameters that cannot be easily determined from first principles and so must be measured, and some which cannot even be easily measured. In such cases, the models are validated and tuned against a set of global experiments which may depend on the underlying physical parameters in a complex way. The measurement uncertainty will affect the uncertainty in the parameter values

    Troubleshooting Liquid Chromatographic Instrumentation and Methods

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    (tutorial

    Gravity-Based Characterization of Three-Axis Accelerometers in Terms of Intrinsic Accelerometer Parameters

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    Cross-sensitivity matrices are used to translate the response of three-axis accelerometers into components of acceleration along the axes of a specified coordinate system. For inertial three-axis accelerometers, this coordinate system is often defined by the axes of a gimbal-based instrument that exposes the device to different acceleration inputs as the gimbal is rotated in the local gravitational field. Therefore, the cross-sensitivity matrix for a given three-axis accelerometer is not unique. Instead, it depends upon the orientation of the device when mounted on the gimbal. We define nine intrinsic parameters of three-axis accelerometers and describe how to measure them directly and how to calculate them from independently determined cross-sensitivity matrices. We propose that comparisons of the intrinsic parameters of three axis accelerometers that were calculated from independently determined cross-sensitivity matrices can be useful for comparisons of the cross-sensitivity-matrix measurement capability of different institutions because the intrinsic parameters will separate the accelerator-gimbal alignment differences among the participating institutions from the purely gimbal-related differences, such as gimbal-axis orthogonality errors, \textit{z}-axis gravitational-field alignment errors, and angle-setting or angle-measurement errors

    A close-up view of slate from Slatington, Pennsylvania, part of the NIST stone wall.

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    A view of part of the NIST stone wall was built using 2,352 stones from 47 US states and 320 from 16 foreign countries. The wall is approximately 12 m long, 4 m high, 0.6 m thick at the bottom, and 0.3 m at the top. The aim of the wall construction was to study the aging process of stones used in construction under outside weathering conditions

    A view of the NIST stone wall

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    A view of the NIST stone wall was built using 2,352 stones from 47 US states and 320 from 16 foreign countries. The wall is approximately 12 m long, 4 m high, 0.6 m thick at the bottom, and 0.3 m at the top. The aim of the wall construction was to study the aging process of stones used in construction under outside weathering conditions

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