Predicting dynamic fragmentation characteristics from high-impact energy events utilizing terrestrial static arena test data and machine learning

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 01, 2023
Source ID
10.1016/j.actaastro.2023.04.036

Entities

People

  • Elisabetta L. Jerome
  • Katharine E. Larsen
  • Omkar S. Mulekar
  • Riccardo Bevilacqua
  • Thomas J. Hatch-aguilar

Organizations

  • Air Force Office of Scientific Research
  • Embry–Riddle Aeronautical University
  • Office of Sex Offender Sentencing, Monitoring, Apprehending, Registering, and Tracking

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks