DOE OSTI · 3683739
Exploring deep learning methods for characterizing near-source characteristics of buried explosions from seismic data
Abstract
Item purpose: SnT virtual poster showing LYNM work Internal peer review status: This poster has been peer reviewed HQ review status: this poster has been approved by HQ
Keep this discovery
Explore connections, maps & timelines
Harding, Jennifer Logan [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000223953280), Preston, Leiph [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000849052203), Eliassi, Mehdi [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:000900041590195X). 2025-09-01. Exploring deep learning methods for characterizing near-source characteristics of buried explosions from seismic data. https://doi.org/10.2172/3683739
Cite the original work for its findings. Save a collection to share your selection of sources.