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Search Publications by: James A. Warren (Fed)

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Displaying 151 - 175 of 181

Model of Electrochemical Double Layer" Using the Phase Field Method

March 20, 2002
Author(s)
William J. Boettinger, Geoffrey B. McFadden, James A. Warren, Jonathan E. Guyer
We present the first application of phase field modeling to electrochemistry. A free energy functional that includes the electrostatic effect of charged particles leads to rich interactions between concentration, electrostatic potential, and phase

A Parallel 3D Dendritic Growth Simulator using the Phase-Field Method

January 1, 2002
Author(s)
William L. George, James A. Warren
We describe an implementation of a parallel finite-difference algorithm for the simulation of alloy solidification in three dimensions using the phase-field model. We also describe the visualization of the output from this simulator. Although thistype of

Prediction of Lateral and Normal Force-Displacement Curves for Flipchip Solder Joints

September 1, 2001
Author(s)
Daniel Wheeler, Daniel Josell, James A. Warren, William E. Wallace
We present the results of experiments and modeling of flip-chip geometry solder joint shapes under shear loading. Modeling, using Surface Evolver, included development of techniques that use an applied vector force (normal and shear loading) as input to

An Introduction to the Phase-Field Method: Simulation of Alloy Solidification

July 1, 2001
Author(s)
William J. Boettinger, James A. Warren, C Beckermann, A N. Karma
An overview of the phase-field method for modeling alloy solidification is presented together with several example results. Using a phase-field variable and a corresponding governing equation to describe the state (solid or liquid) in a material as a

Sharp Interface Limit of a Phase-Field Model of Crystal Grains

May 1, 2001
Author(s)
A E. Lobkovsky, James A. Warren
We analyze a two-dimensional phase field model designed to describe the dynamics of crystalline grains. The phenomenological free energy is a function of a complex order parameter whose amplitude reflects the orientational order. Its phase is the

Abstracts for the MSEL Assessment Panel, March 2001

January 26, 2001
Author(s)
Leslie E. Smith, Alamgir Karim, Leonid A. Bendersky, C Lu, J J. Scott, Ichiro Takeuchi, Kathleen M. Flynn, Vinod K. Tewary, Davor Balzar, G A. Alers, Stephen E. Russek, Charles C. Han, Haonan Wang, William E. Wallace, Daniel A. Fischer, K Efimenko, Wen-Li Wu, Jan Genzer, Joseph C. Woicik, Thomas H. Gnaeupel-Herold, Henry J. Prask, Charles F. Majkrzak, Norman F. Berk, John G. Barker, Charles J. Glinka, Eric K. Lin, Ward L. Johnson, Paul R. Heyliger, David T. Read, R R. Keller, J Blendell, Grady S. White, Lin-Sien H. Lum, Eric J. Cockayne, Igor Levin, C E. Johnson, Maureen E. Williams, Gery R. Stafford, William J. Boettinger, Kil-Won Moon, Daniel Josell, Daniel Wheeler, Thomas P. Moffat, W H. Huber, Lee J. Richter, Clayton S. Yang, Robert D. Shull, R A. Fry, Robert D. McMichael, William F. Egelhoff Jr., Ursula R. Kattner, James A. Warren, Jonathan E. Guyer, Steven P. Mates, Stephen D. Ridder, Frank S. Biancaniello, D Basak, Jon C. Geist, Kalman D. Migler
Abstracts relating to research and development in the NIST Materials Science and Engineering Laboratory (MSEL) are presented for a poster session to be presented to the 2001 MSEL Assessment Panel.

A Phase Field Model of the Premelting of Grain Boundaries in Pure Materials

January 1, 2001
Author(s)
A E. Lobkovsky, James A. Warren
We present a phase field model of solidification which includes the effects of the crystalline orientation in the solid phase. This model describes grain boundaries as well as solid-liquid boundaries within a unified framework. With an appropriate choice

Accelerating Scientific Discovery through Computation and Visualization

November 1, 2000
Author(s)
James S. Sims, John G. Hagedorn, Peter M. Ketcham, Steven G. Satterfield, Terence J. Griffin, William L. George, H A. Fowler, B A. am Ende, Howard Hung, Robert B. Bohn, John E. Koontz, Nicos Martys, Charles E. Bouldin, James A. Warren, D L. Feder, Charles W. Clark, Bernard J. Filla, Judith E. Terrill
The rate of scientific discovery can be accelerated through computation and visualization. This acceleration results from the synergy of expertise, computing tools, and hardware for enabling high performance computation, information science, and