scholarly journals Characterization of High-Explosive Initiation and Safety at Los Alamos

1995 ◽  
Vol 05 (C4) ◽  
pp. C4-179-C4-188
Author(s):  
J. M. McAfee
1979 ◽  
Author(s):  
C.R. Schmitt ◽  
G.F. Dorsey
Keyword(s):  

2017 ◽  
Author(s):  
David W. Podlesak ◽  
Rachel C. Huber ◽  
Ronald S. Amato ◽  
Dana M. Dattelbaum ◽  
Millicent A. Firestone ◽  
...  
Keyword(s):  

2002 ◽  
Vol 68 (10) ◽  
pp. 4764-4771 ◽  
Author(s):  
Helena M. B. Seth-Smith ◽  
Susan J. Rosser ◽  
Amrik Basran ◽  
Emma R. Travis ◽  
Eric R. Dabbs ◽  
...  

ABSTRACT Hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) is a high explosive which presents an environmental hazard as a major land and groundwater contaminant. Rhodococcus rhodochrous strain 11Y was isolated from explosive contaminated land and is capable of degrading RDX when provided as the sole source of nitrogen for growth. Products of RDX degradation in resting-cell incubations were analyzed and found to include nitrite, formaldehyde, and formate. No ammonium was excreted into the medium, and no dead-end metabolites were observed. The gene responsible for the degradation of RDX in strain 11Y is a constitutively expressed cytochrome P450-like gene, xplA, which is found in a gene cluster with an adrenodoxin reductase homologue, xplB. The cytochrome P450 also has a flavodoxin domain at the N terminus. This study is the first to present a gene which has been identified as being responsible for RDX biodegradation. The mechanism of action of XplA on RDX is thought to involve initial denitration followed by spontaneous ring cleavage and mineralization.


Author(s):  
Stephen A. Andrews ◽  
Andrew M. Fraser

This paper reports a verification study for a method that fits functions to sets of data from several experiments simultaneously. The method finds a maximum a posteriori probability estimate of a function subject to constraints (e.g., convexity in the study), uncertainty about the estimate, and a quantitative characterization of how data from each experiment constrains that uncertainty. While this work focuses on a model of the equation of state (EOS) of gasses produced by detonating a high explosive, the method can be applied to a wide range of physics processes with either parametric or semiparametric models. As a verification exercise, a reference EOS is used and artificial experimental data sets are created using numerical integration of ordinary differential equations and pseudo-random noise. The method yields an estimate of the EOS that is close to the reference and identifies how each experiment most constrains the result.


2006 ◽  
Vol 20 (12) ◽  
pp. 1949-1953 ◽  
Author(s):  
Greg Gillen ◽  
Christine Mahoney ◽  
Scott Wight ◽  
Richard Lareau

2017 ◽  
Vol 122 (3) ◽  
pp. 035901 ◽  
Author(s):  
John D. Yeager ◽  
Patrick R. Bowden ◽  
Daniel R. Guildenbecher ◽  
Joseph D. Olles
Keyword(s):  

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