Skip to main content

NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications

NIST Authors in Bold

Displaying 51301 - 51325 of 73697

Evaluation of the External Force Term in the Discrete Boltzmann Equation

November 1, 1998
Author(s)
Nicos Martys, X Shan, H Chen
A representation of the forcing term in the Boltzmann equation based on Hermite expansion of the Boltzmann distribution function in velocity phase space is derived. Based on this description of the forcing term, a systematic comparison of previous Lattice

Micromachined Silicon Torsional Resonator for Magnetic Anisotropy Measurement

November 1, 1998
Author(s)
J. Morillo, Q. Su, B. Panchapakesan, Matthias Wuttig, Donald B. Novotny
A novel method for measuring the out-of-plane magnetic anisotropy of thin films has been developed using the existing techniques of silicon micromachining. The torsion pendulum which is commonly used to measure the perpendicular magnetic anisotropy energy

Morphology of Polyethylene-Carbon Black Composites

November 1, 1998
Author(s)
G Beaucage, Daniel A. Fischer, Gabrielle G. Long, S Rane, D W. Schaefer
Carbon black is a common polymer additive that is used for reforcement and for its ability to enhance physical properties such as conductivity. This paper pertains to a small-angle x-ray scattering [SAXS] study of a conductive grade of carbon black and

NIST Atomic Spectra Database (1998)

November 1, 1998
Author(s)
G R. Dalton, Robert A. Dragoset, Jeffrey R. Fuhr, Daniel E. Kelleher, Svetlana A. Kotochigova, William C. Martin, Peter Mohr, Arlene Musgrove, Karen J. Olsen, Larissa Podobedova, Edward B. Saloman, J Sugar, Wolfgang L. Wiese, C S. Grant, G Eichhorn, Richard L. Kelly, T Shirai, V I. Azarov, Alexander Kramida, A N. Ryabtsev, J Blaise, J-F Wyart

Performance of a Commerical Hot Water Boiler

November 1, 1998
Author(s)
Cheol D. Park, S T. Liu
In responding to ASHRAE SPC 155P's interest and to provide additional evidence on the envisioned linear relationship between output and input of a boiler under part load conditions, the National Institute of Standards and Technology undertook to conduct a

Properties of Process Gases Determined Accurately With Acoustic Techniques

November 1, 1998
Author(s)
John J. Hurly
Our laboratory has developed a highly precise, automated apparatus for measuring sound speeds, viscosity, and thermal conductivity in hazardous and/or corrosive process gases throughout the temperature and pressure ranges of interest to the semiconductor

Report of the 83rd National Conference on Weights and Measures

November 1, 1998
Author(s)
G M. Ugiansky, J L. Land
The 83rd Annual Meeting of the National Conference on Weights and Measures (NCWM) was held July 12 through July 16, 1998, at the Hilton Hotel in Portland, Oregon. The theme of the meeting was Working Together for Equity.Reports by the Standing and Annual

Shear Induced Restructuring of Dense Colloidal Silica Gels

November 1, 1998
Author(s)
Howard J. Hanley, Chris D. Muzny, B D. Butler, G C. Straty, J Barlett, E. Drabarek
The viscometric properties and structure of concentrated sheared colloidal gels, formed at a pH = 8 from a commercial aqueous sol of 7 nm diameter silica particles, were investigated.

Support Vector Machines Applied to Face Recognition

November 1, 1998
Author(s)
P J. Phillips
Face recognition is a K class problem, where K is the number of known individuals; and support vector machines (SVMs) are a binary classification method. By reformulating the face recognition problem and re-interpreting the output of the SVM classifier, we
Displaying 51301 - 51325 of 73697
Was this page helpful?