After Dark: Modern Methods of Visualizing Nuclear Radiation

3 people standing in front of multiple displays showing radiation imaging technologies.

Quest for Tritium Detection with Scientific CCDs Fueled by Deep Learning

A large metal item with wires

NSD Welcomes Summer Interns

Complex analyses, uncertainty quantification, and machine learning

A visual representation of the process that the Rare Event Surrogate Model uses.

LBNL develops gamma spectroscopy optimization code for international nuclear safeguards

A graph displaying the optimal labels

3Q4: Hannah Parrilla and Autism Acceptance Month

Researchers Demonstrate Robotic Inspection for Nuclear Safeguards

Half-life of 71Ge and the Gallium Anomaly

A Bayesian Approach to Free-Moving Radiation Mapping with a Single Detector

Empowering Detector Development: Introducing the Upgraded Scintillator Library

NSD’s Lee Bernstein and Brian Quitter Recognized with Director’s Awards

Making Rad Maps With Robot Dogs

Semiconductor Detector Lab Reaches for the Stars

Applied Nuclear Physics Program Aiding Clean-up of Cold War-Era Radioactive Contamination through Radiological Mapping

Exploring Machine Learning at VENUS

Scintillator Research Group moves to NSD

NSD Postdocs Compete in LBNL Research SLAM Final

LBNL Participates in UF6 Cylinder Measurement Campaign at Fuel Fabrication Facility

Advanced sensor networks for radiological detection

Mapping Distributed Radiation Sources Quantitatively

ANP Article Featured in PRR

Applied Nuclear Physics

The Neutron and Gamma Localization and Mapping Platform (NG-LAMP).