Filter News
Area of Research
- (-) Nuclear Science and Technology (7)
- (-) Supercomputing (27)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (67)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (16)
- Fusion Energy (11)
- Materials (19)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (7)
- Quantum information Science (7)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Fusion (8)
- (-) Grid (1)
- (-) Machine Learning (8)
- (-) Quantum Science (13)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (9)
- Artificial Intelligence (22)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (12)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- High-Performance Computing (23)
- Isotopes (3)
- Materials (5)
- Materials Science (11)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (4)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (29)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (5)
- Summit (27)
- Sustainable Energy (4)
- Transformational Challenge Reactor (2)
Media Contacts
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
The inside of future nuclear fusion energy reactors will be among the harshest environments ever produced on Earth. What’s strong enough to protect the inside of a fusion reactor from plasma-produced heat fluxes akin to space shuttles reentering Earth’s atmosphere?
The Department of Energy has selected Oak Ridge National Laboratory to lead a collaboration charged with developing quantum technologies that will usher in a new era of innovation.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
Lithium, the silvery metal that powers smart phones and helps treat bipolar disorders, could also play a significant role in the worldwide effort to harvest on Earth the safe, clean and virtually limitless fusion energy that powers the sun and stars.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.