Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (48)
- Clean Energy (91)
- Computer Science (4)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (65)
- Materials for Computing (11)
- National Security (21)
- Neutron Science (18)
- Nuclear Science and Technology (24)
- Quantum information Science (5)
- Supercomputing (66)
News Type
News Topics
- (-) Big Data (29)
- (-) Clean Water (15)
- (-) Composites (15)
- (-) Energy Storage (69)
- (-) Exascale Computing (33)
- (-) Machine Learning (34)
- (-) Nuclear Energy (77)
- (-) Polymers (20)
- (-) Quantum Science (56)
- (-) Sustainable Energy (74)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (18)
- Artificial Intelligence (74)
- Bioenergy (73)
- Biology (79)
- Biomedical (45)
- Biotechnology (17)
- Buildings (30)
- Chemical Sciences (50)
- Climate Change (69)
- Computer Science (138)
- Coronavirus (34)
- Critical Materials (12)
- Cybersecurity (31)
- Decarbonization (62)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Environment (136)
- Fossil Energy (5)
- Frontier (37)
- Fusion (41)
- Grid (38)
- High-Performance Computing (68)
- Hydropower (5)
- Isotopes (43)
- ITER (4)
- Materials (99)
- Materials Science (93)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (51)
- Net Zero (11)
- Neutron Science (96)
- Partnerships (42)
- Physics (52)
- Quantum Computing (29)
- Renewable Energy (2)
- Security (21)
- Simulation (38)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
Qrypt, Inc., has exclusively licensed a novel cyber security technology from the Department of Energy’s Oak Ridge National Laboratory, promising a stronger defense against cyberattacks including those posed by quantum computing.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
A tiny vial of gray powder produced at the Department of Energy’s Oak Ridge National Laboratory is the backbone of a new experiment to study the intense magnetic fields created in nuclear collisions.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
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...
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...
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 ...
Oak Ridge National Laboratory experts are playing leading roles in the recently established Department of Energy’s (DOE’s) Exascale Computing Project (ECP), a multi-lab initiative responsible for developing the strategy, aligning the resources, and conducting the R&D necessary to achieve the nation’s imperative of delivering exascale computing by 2021.
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.