DOE OSTI · 3374831
Simulated X-ray Diffraction and Machine Learning for Interpretation of Dynamic Compression Experiments
Abstract
This is the presentation I will give at the APS SCCM Meeting 2025: 24th International Conference on the Science of Compression in Condensed Matter highlighting our latest results of integrating AI/ML into the analysis of dynamic compression experiments.
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Montes de Oca Zapiain, David [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000178900859), Donohoe, Brendan Drake [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Brozak, Samantha Jean [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000209185289), Ao, Tommy [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000162234134), Brown, Nathan Parnell [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000336542357), Rodriguez, Mark Andrew [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000269405044), Knudson, Marcus David [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000259164662), Lane, James Matthew Doyle [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000278789158). 2025-06-01. Simulated X-ray Diffraction and Machine Learning for Interpretation of Dynamic Compression Experiments. https://doi.org/10.2172/3374831
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