David G Abrecht Contact 865.574.5262 | abrechtdg@ornl.gov All Publications A heat and mass transfer model for evaluation of damaged cesium chloride radiological sources... Physics-Based Machine Learning Methods for U-235 Forensics Signatures Physics-Based Machine Learning Methods for U-235 Forensics Signatures Classification Analytics of Pu-239 and U-235 Source Signatures Using Gamma Spectral Regions Characterizing PuO2 Powder at ORNL for the Multi-Lab Plutonium Process Signatures Campaign FY22... Engineering Evaluation of Barium Buildup in a Decayed CsCl Sealed Source and Potential Impact for Cesium Release from a Breached Source Ab initio calculations of material properties for modeling debris: FY21 Progress Report Key Links ORCID