Modeling mesoscale energy localization in shocked HMX, part I: machine-learned surrogate models for the effects of loading and void sizes
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Title
Modeling mesoscale energy localization in shocked HMX, part I: machine-learned surrogate models for the effects of loading and void sizes
Authors
Keywords
Multi-scale modeling, Machine learning, Surrogate modeling, Pressed HMX, Void collapse, Ignition/growth reaction rates, Energetic materials
Journal
SHOCK WAVES
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-12-09
DOI
10.1007/s00193-018-0874-5
References
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