The concept of tagging nuclear fuel with a chemical barcode to enable forensics analysis across the nuclear fuel cycle is an area of active investigation, particularly to ensure fabrication viability ...

International Conference on Geographic Information Science (GIScience 2025) Christchurch, New Zealand Various Aug 26, 2025 - Aug 29, 2025 ...

Radiochemist Pavithra Kankanamalage’s research could make medical radioisotopes more available — and help her keep a ...

From their offices in California, the EQSIM team members can log into the Frontier supercomputer in Oak Ridge, Tennessee — ...

The objective of this study is to evaluate (1) how threat awareness influences driver response to an unexpected cyberattack, (2) how the provision of a basic cyberattack response protocol influences ...

Advancements in quantum technology, which include quantum computing, quantum sensing, quantum communications, and associated research, continue to revolutionize various fields of study by solving ...

Oak Ridge National Laboratory researchers have overcome a barrier to using a more affordable, dry process for manufacturing the lithium-ion batteries used in vehicles and electronic devices. The ...

In a bold step toward transforming how nuclear infrastructure is built, the Department of Energy’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory, in partnership with ...

The Department of Energy’s Oak Ridge National Laboratory and JuggerBot 3D, an industrial 3D printer equipment manufacturer, have launched their second research and development collaboration through ...

United Rare Earths has licensed two innovative technologies from Oak Ridge National Laboratory aimed at reducing dependence on critical rare earth elements. These technologies support the creation of ...

To ensure the technology could be scaled up for commercialization, ORNL researchers made coin and pouch cell batteries using industry-standard processes at ORNL’s open-access Battery Manufacturing ...

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. In ...