Thomas Komay, Ian Parzyszek, Hannah Patz, and Michael Romero are leveraging their backgrounds in radiochemistry, math, and nuclear engineering to advance NFTI projects. They gained a deeper understanding of nuclear forensics.
Researchers at PNNL have developed an interpretable, lightweight AI model that can easily predict weld microstructure features using only basic machine sensor inputs.
Capstone engineering projects deliver equipment to improve accuracy of chemistry lab elutions and enhance training to safeguard critical infrastructure.
PNNL research, featured on the cover of two science journals, describes advancements in using Raman spectrometry for Hanford Site nuclear waste remediation.