
Oak Ridge National Laboratory researchers working on neutron imaging capabilities for nuclear materials have developed a process for seeing the inside of uranium particles – without cutting them open.
Oak Ridge National Laboratory researchers working on neutron imaging capabilities for nuclear materials have developed a process for seeing the inside of uranium particles – without cutting them open.
During the Quantum Internet Blueprint Workshop, nearly 80 experts representing Department of Energy national laboratories, other government agencies, universities and industry partners addressed opportunities and obstacles facing the development of a se
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample.
We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.
Samantha Erwin of the Department of Energy’s Oak Ridge National Laboratory has received a Society for Industrial and Applied Mathematics (SIAM) Science Policy Fellowship.
Nearly 100 participants from government, industry and academia gathered at the Department of Energy’s Oak Ridge National Laboratory from January 22 to 24 for the inaugural Artificial Intelligence for Robust Engineering & Science, or AIRES, workshop.
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
Oak Ridge National Laboratory will partner with Cincinnati Children’s Hospital Medical Center to explore ways to deploy expertise in health data science that could more quickly identify patients’ mental health risk factors and aid in
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.