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Los Alamos Science No. 29, 2005
Science-Based Prediction for Complex Systems
| Improving predictive capability is an implicit goal in the major missions of Los Alamos National Laboratory: simulating performance of weapons in the stockpile, quantifying uncertainties in those simulations, and developing strategies to mitigate global threats. Success in achieving this goal depends on closely coordinating theory, experiment, and computer simulation. |
| Table of Contents | PDF Size | Los Alamos Science #29, Entire Issue
Necia Grant Cooper, Editor | 22867 kB | Cover
| 1746 kB | About the Cover
| 96 kB | Title page, About this Volume, Table of Contents
| 354 kB | Inside Back Cover
| 13 kB | Back Cover
| 586 kB | The Evolving Deterrent
Dwight Jaeger, John Pedicini | 1001 kB | Error Analysis and Simulations of Complex Phenomena
Michael A. Christie, James Glimm, John W. Grove, David M. Higdon, David H. Sharp, Merri M. Wood-Schultz | 1495 kB | Reducing Uncertainty in Nuclear Data
Mark B. Chadwick, Patrick Talou, Toshihiko Kawano | 1495 kB | The Ocean Perspective—Uncertainties in Climate Prediction
Rainer Bleck | 958 kB | Predicting Risks in the Earth Sciences—Volcanological Examples
Greg Valentine | 1522 kB | Quantum Molecular Dynamics—Simulating Warm, Dense Matter
Lee A. Collins, Joel D. Kress, Stephane F. Mazevet | 1583 kB | Predicting Material Strength, Damage, and Fracture—The Synergy between Experiment and Modeling
George T. (Rusty) Gray III, Paul J. Maudlin, Lawrence M. Hull, Q. Ken Zuo, Shuh-Rong Chen | 2015 kB | Complex Networks—The Challenge of Interaction Topology
Zoltán Toroczkai | 2240 kB | Models of the Retina with Application to the Design of a Visual Prosthesis
Garrett T. Kenyon, John George, Bryan Travis, Krastan Blagoev | 2558 kB | The Turbulence Problem—An Experimentalist’s Perspective
Robert Ecke | 2760 kB | Direct Numerical Simulations of Turbulence—Data Generation and Statistical Analysis
Susan Kurien, Mark A. Taylor | 3132 kB | The LANS-a Model for Computing Turbulence—Origins, Results, and Open Problems
Darryl D. Holm, Chris Jeffery, Susan Kurien, Daniel Livescu, Mark A. Taylor, Beth A. Wingate | 1715 kB | Taylor’s Hypothesis, Hamilton’s Principle, and the LANS-a Model for Computing Turbulence
Darryl D. Holm | 309 kB | Field Theory and Statistical Hydrodynamics—The First Analytical Predictions of Anomalous Scaling
Misha Chertkov | 104 kB | Physically Motivated Discretization Methods—A Strategy for Increased Predictiveness
Dana Knoll, Jim Morel, Len Margolin, Misha Shashkov | 1299 kB |
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