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Using Deep Learning Models to Characterize Subsurface Physical Parameters at Modeled Underground Chemical Explosion Sources

Conference ·
DOI:https://doi.org/10.2172/2563918· OSTI ID:2563918
 [1];  [1];  [2];  [1]
  1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  2. Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
+ Show Author Affiliations

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
Office of Defense Nuclear Nonproliferation
DOE Contract Number:
NA0003525
OSTI ID:
2563918
Report Number(s):
SAND2024-04963C
Country of Publication:
United States
Language:
English

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