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Search Publications

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Displaying 11076 - 11100 of 73832

Ionic Tuning of Cobaltites at the Nanoscale

October 3, 2018
Author(s)
Dustin Allen Gilbert, Alexander J Grutter, Peyton D. Murray, Rajesh V. Chopdekar, Alexander M. Kane, Aleksey L. Ionin, Michael S. Lee, Steven R. Spurgeon, Brian J Kirby, Brian B. Maranville, Alpha T. N'Diaye, Apurva Mehta, Elke Arenholz, Kai Liu, Yayoi Takamura, Julie A. Borchers

Measurement Tools for Substation Equipment: Testing the Interoperability of protocols for Time Transfer and Communication

October 3, 2018
Author(s)
Dhananjay Anand, YaShian Li-Baboud, Kevin G. Brady, Yuyin Song, Kang Lee, Cuong Nguyen, Gerald FitzPatrick, Allen R. Goldstein
A test harness was designed and developed at the National Institute of Standards and Technology (NIST) to study the interoperability of the Precision Timing Protocol-Power Profile (PTP) and other communication standards for substation automation

VISUALIZING SMOKE AND FIRE

October 3, 2018
Author(s)
Glenn P. Forney
This note discusses some of the physics and associated numerical algorithms used by Smokeview to visualize smoke and fire. Realistic visualization methods are important for applications where one wishes to observe qualitative effects of fire and smoke

Mixing of Polarization States in Zincblende Nonlinear Optical Crystals

October 2, 2018
Author(s)
Paulina S. Kuo, M. M. Fejer
We describe second-order nonlinear optical mixing in non-birefringent, zincblende-structure materials that can be quasi-phasematched. Lack of birefringence and quasi-phasematching together allow efficient nonlinear mixing between diverse polarization

Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

October 2, 2018
Author(s)
Saideep Nannapaneni, Anantha Narayanan Narayanan, Ronay Ak, David Lechevalier, Thurston Sexton, Sankaran Mahadevan, Yung-Tsun Lee
Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A

A DESIGN FOR ADDITIVE MANUFACTURING ONTOLOGY TO SUPPORT MANUFACTURABILITY ANALYSIS

October 1, 2018
Author(s)
Samyeon Kim, David W. Rosen, Paul Witherell, Hyunwoong Ko
Design for additive manufacturing (DFAM) provides design freedom for creating complex geometries and guides designers to ensure manufacturability of parts fabricated using additive manufacturing (AM) processes. However, there is a lack of formalized DFAM

Correlation-Based Uncertainty in Loaded Reverberation Chambers

October 1, 2018
Author(s)
Maria G. Becker, Michael R. Frey, Sarah B. Streett, Catherine A. Remley, Robert D. Horansky, Damir Senic
When reverberation chambers are loaded to increase the coherence bandwidth for modulated-signal measurements, a secondary effect is decreased spatial uniformity. We show that an appropriate choice of stirring sequence, consisting of a combination of mode

Evaluation of Degradation Models for High Strength p-Aramid Fibres Used in Body Armour

October 1, 2018
Author(s)
Kirk D. Rice, Amy E. Engelbrecht-Wiggans, Emilien J. Guigues, Amanda Forster
To improve the reliability and design of armour, it is imperative to understand the failure modes and the degradation rates of the materials used in armour. Despite the best efforts of manufacturers, some vulnerability of armour materials to ageing due

Generalized source-conditions and uncertainty bounds for deconvolution problems

October 1, 2018
Author(s)
Jake D. Rezac, Andrew M. Dienstfrey, Nicholas A. Vlajic, Akobuije D. Chijioke, Paul D. Hale
Many problems in time-dependent metrology can be phrased mathematically as deconvolution problems. In such cases, measured data is modeled as the convolution of a known system response function with an unknown input signal, and the goal is to estimate the
Displaying 11076 - 11100 of 73832
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