Materials Science Division
Explosives Performance Research and Technologies Group
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Furthering energetic materials research, development, testing, and evaluation in support of the Laboratory’s national security mission.
The Explosives Performance Research and Technologies (ExPRT) Group is composed of four unique sub-groups. We are a diverse team of more than 25 scientists and engineers that provide programs with expertise in the areas of both static and dynamic diagnostics, as well as standard and unique explosives test design, execution, analysis, and modeling across multiple length scales.
In addition to performance evaluations, our team designs, develops, and supports safety assessments of energetic materials in both normal and abnormal environments. ExPRT also contains the subject matter experts for initiation system aging and performance evaluations.
Our research areas
- Energy partitioning of explosives during dynamic shock and detonation
- Laser-driven compression of energetic materials
- Detonation modeling
- Chemical characterization of explosives
- Explosive component performance and aging assessments
- Development of new dynamic and static diagnostics for explosives
- Experimental design and execution
In the news
Our team
Group members
Select publications
TATB thermal decomposition: Expanding the molecular profile with cryo-focused pyrolysis GC-MS
Propellants, Explosives, Pyrotechnics, 2024
K. D. Morrison, J. S. Moore, K. R. Coffee, B. Koroglu, A. K. Burnham, J. G. Reynolds
Using double pulse laser ablation in air to enhance the strength of laser-driven shocks
Optics Express, 2024
J. C. Crowhurst, S. Ly, B. Koroglu, and W. J. Keller
Comparative analysis of sublimation and thermal decomposition of TATB
Propellants, Explosives, Pyrotechnics, 2023
B. Koroglu, A. K. Burnham, I. Mashiana, A. Racoveanu, C. Arose, J. C. Crowhurst, J. G. Reynolds
Effect of thermal conditioning on the initiation threshold of secondary high-explosives
Propellants, Explosives, Pyrotechnics, 2023
A. Maiti, W. L. Shaw, S. M. Clarke, C. Fox, L. A. Ke, W. N. Cheung, M. A. Burton, G. D. Kosiba, C. D. Grant, R. H. Gee
Topological analysis of X-ray CT data for the recognition and trending of subtle changes in microstructure under material aging
Computational Materials Science, 2020
A. Maiti, A. Venkat, G.D. Kosiba, W.L. Shaw, J.D. Sain, R.K. Lindsey, C.D. Grant, P.-T. Bremer, A.G. Gyulassy, V. Pascucci, R.H. Gee








