Filter News
Area of Research
News Topics
- (-) Coronavirus (10)
- (-) Quantum Computing (5)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (13)
- Biology (23)
- Biomedical (10)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Composites (6)
- Computer Science (30)
- Critical Materials (4)
- Cybersecurity (5)
- Energy Storage (21)
- Environment (39)
- Exascale Computing (2)
- Frontier (4)
- Fusion (8)
- Grid (10)
- High-Performance Computing (19)
- Isotopes (12)
- ITER (4)
- Machine Learning (1)
- Materials (32)
- Materials Science (22)
- Mathematics (1)
- Mercury (3)
- Microscopy (10)
- Nanotechnology (10)
- National Security (7)
- Neutron Science (20)
- Nuclear Energy (6)
- Physics (3)
- Polymers (5)
- Quantum Science (12)
- Security (3)
- Space Exploration (4)
- Statistics (1)
- Summit (9)
- Transportation (21)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 10 of 14 Results

A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received 91°”Íűâs top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Directorâs Awards event hosted by ORNL Director Thomas Zacharia.

A study by Department of Energy researchers detailed a potential method to detect the novel coronavirus

A team led by the U.S. Department of Energyâs 91°”Íű demonstrated the viability of a âquantum entanglement witnessâ capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.

Research teams from the Department of Energyâs 91°”Íű and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.

A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL

An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques â in combination with experimental validation â to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.

When COVID-19 was declared a pandemic in March 2020, 91°”Íűâs Parans Paranthaman suddenly found himself working from home like millions of others.

When Kashif Nawaz looks at a satellite map of the U.S., he sees millions of buildings that could hold a potential solution for the capture of carbon dioxide, a plentiful gas that can be harmful when excessive amounts are released into the atmosphere, raising the Earthâs temperature.

Scientists have found new, unexpected behaviors when SARS-CoV-2 â the virus that causes COVID-19 â encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.

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.