Filter News
Area of Research
- Biology and Environment (7)
- Clean Energy (18)
- Computer Science (1)
- Fusion and Fission (3)
- Fusion Energy (4)
- Isotopes (2)
- Materials (7)
- Materials for Computing (1)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (14)
News Type
News Topics
- (-) Biomedical (16)
- (-) Clean Water (2)
- (-) Grid (6)
- (-) Machine Learning (5)
- (-) Nuclear Energy (23)
- (-) Polymers (3)
- (-) Quantum Science (6)
- (-) Sustainable Energy (12)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (10)
- Artificial Intelligence (6)
- Big Data (9)
- Bioenergy (6)
- Biology (4)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (26)
- Coronavirus (14)
- Cybersecurity (2)
- Energy Storage (14)
- Environment (16)
- Exascale Computing (2)
- Frontier (1)
- Fusion (12)
- High-Performance Computing (1)
- Isotopes (4)
- Materials Science (19)
- Mathematics (2)
- Mercury (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (5)
- Neutron Science (13)
- Physics (8)
- Security (2)
- Space Exploration (1)
- Summit (10)
- Transformational Challenge Reactor (3)
- Transportation (9)
Media Contacts
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.
A team from the ORNL has conducted a series of experiments to gain a better understanding of quantum mechanics and pursue advances in quantum networking and quantum computing, which could lead to practical applications in cybersecurity and other areas.
A select group gathered on the morning of Dec. 20 at the Department of Energy’s Oak Ridge National Laboratory for a symposium in honor of Liane B. Russell, the renowned ORNL mammalian geneticist who died in July.
Oak Ridge National Laboratory researchers created a geothermal energy storage system that could reduce peak electricity demand up to 37% in homes while helping balance grid operations.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.