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Displaying 30601 - 30625 of 143775

Chemical Kinetics and Photochemical Data for Use in Atmospheric Studies, Evaluation No. 18

October 30, 2015
Author(s)
Vladimir L. Orkin, James B. Burkholder, S. P. Sander, J. P. D. Abbatt D. Abbatt, J. R. Barker, Robert E. Huie, C E. Kolb, Michael J. Kurylo III, David M. Wilmouth, P. H. Wine
This is the eighteenth in a series of evaluated sets of rate constants, photochemical cross sections, heterogeneous parameters, and thermochemical parameters compiled by the NASA Panel for Data Evaluation. The data are used primarily to model stratospheric

Design and calibration of an artifact for evaluating laser scanning articulating arm CMMs used for measuring complex non-concurrent surfaces

October 30, 2015
Author(s)
Vincent D. Lee, Steven D. Phillips, Craig M. Shakarji, Jeffrey Hosto, Jeffrey Huber, Gillich Barbara
Dimensional metrology is a foundational science finding applications throughout modern technology, including the testing of human-worn body armor designed to mitigate damage from kinetic projectiles fired from small arms. We describe the design and

Towards the Development of a Documentary Standard for Derived-Point to Derived-Point Distance Performance Evaluation of Spherical Coordinate 3D Imaging Systems

October 30, 2015
Author(s)
Balasubramanian Muralikrishnan, Katharine M. Shilling, Prem K. Rachakonda, Wei Ren, Vincent D. Lee, Daniel S. Sawyer
This paper describes ongoing research work within the Dimensional Metrology Group (DMG) at the National Institute of Standards and Technology (NIST) in support of the development of a documentary standard for derived-point to derived-point distance

A Neural Network Meta-Model and its Application for Manufacturing

October 29, 2015
Author(s)
David J. Lechevalier, Ronay Ak, Steven Hudak, Yung-Tsun T. Lee, Sebti Foufou
Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and

Automated uncertainty quantification analysis using system model and data

October 29, 2015
Author(s)
Saideep Nannapaneni, Sankaran Mahadevan, David Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Understanding the sources of, and quantifying the magnitude of, uncertainty can improve decision-making and, thereby, make manufacturing systems more efficient. Accomplishing all of them requires knowledge in four separate domains: statistics, data science
Displaying 30601 - 30625 of 143775
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