Filter News
Area of Research
- (-) Materials (31)
- (-) Neutron Science (9)
- (-) Supercomputing (25)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (40)
- Climate and Environmental Systems (3)
- Computer Science (2)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Materials for Computing (4)
- National Security (4)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
News Topics
- (-) Artificial Intelligence (6)
- (-) Big Data (9)
- (-) Energy Storage (10)
- (-) Environment (9)
- (-) Nanotechnology (21)
- (-) Quantum Science (12)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Bioenergy (7)
- Biology (1)
- Biomedical (15)
- Chemical Sciences (2)
- Climate Change (1)
- Composites (2)
- Computer Science (37)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (2)
- Decarbonization (1)
- Exascale Computing (2)
- Frontier (1)
- Fusion (2)
- Grid (3)
- High-Performance Computing (2)
- Isotopes (6)
- Machine Learning (4)
- Materials (2)
- Materials Science (40)
- Mathematics (1)
- Microscopy (10)
- Molten Salt (1)
- National Security (1)
- Neutron Science (35)
- Nuclear Energy (7)
- Physics (14)
- Polymers (9)
- Security (1)
- Space Exploration (1)
- Summit (15)
- Sustainable Energy (7)
- Transformational Challenge Reactor (2)
- Transportation (8)
Media Contacts
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...