What is it about?

We used used the Sen-Rai machine learning algorithm to learn and then predict the relationship between microstructure and sensitivity in the explosive PBX 9502 across low pressure ranges. We we able to determine the key microstructure parameter in determining the explosive sensitivity.

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Why is it important?

This is important because it works toward an overall approach of using machine learning to design novel energetic materials.

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This page is a summary of: Toward a machine-guided approach to energetic material discovery, Journal of Applied Physics, June 2022, American Institute of Physics,
DOI: 10.1063/5.0084973.
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