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most citedModeling meso-scale energy localization in shocked HMX, Part I: machine- learned surrogate model for effect of loading and void size

45 citations · 157 across the 6 of their papers we have counts for

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physics.comp-ph2018★ 45 cited

Modeling meso-scale energy localization in shocked HMX, Part I: machine- learned surrogate model for effect of loading and void size

Anas Nassar, Nirmal K. Rai, Oishik Sen +1

This work presents the procedure for constructing a machine learned surrogate model for hotspot ignition and growth rates in pressed HMX materials. A Bayesian Kriging algorithm is…