Los Alamos Science 2005 №29

Published by the Los Alamos National Laboratory, 2005, 220 p.
Popular science magazine about new achievements in physics, experimental techniques and computer simulation.
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. The latest issue of Los Alamos Science presents examples from across the Laboratory.The Evolving Deterrent - (Dwight Jaeger, John Pedicini)
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)
Reducing Uncertainty in Nuclear Data - (Mark B. Chadwick, Patrick Talou, Toshihiko Kawano)
The Ocean Perspective - Uncertainties in Climate Prediction - (Rainer Bleck)
Predicting Risks in the Earth Sciences - Volcanological Examples - (Greg Valentine)
Quantum Molecular Dynamics - Simulating Warm, Dense Matter - (Lee A. Collins, Joel D. Kress, Stephane F. Mazevet)
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)
Complex Networks - The Challenge of Interaction Topology - (Zoltin Toroczkai)
Models of the Retina with Application to the Design of a Visual Prosthesis - (Garrett T. Kenyon, John George, Bryan Travis, Krastan Blagoev)
The Turbulence Problem - An Experimentalist’s Perspective - (Robert Ecke)
Direct Numerical Simulations of Turbulence - Data Generation and Statistical Analysis - (Susan Kurien, Mark A. Taylor)
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)
Taylor’s Hypothesis, Hamilton’s Principle, and the LANS-a Model for Computing Turbulence - (Darryl D. Holm)
Field Theory and Statistical Hydrodynamics - The First Analytical Predictions of Anomalous Scaling - (Misha Chertkov)
Physically Motivated Discretization Methods - A Strategy for Increased Predictiveness - (Dana Knoll, Jim Morel, Len Margolin, Misha Shashkov)