Filter News
Area of Research
News Type
News Topics
- (-) Computer Science (34)
- (-) Coronavirus (16)
- (-) Microscopy (4)
- (-) Quantum Science (8)
- 3-D Printing/Advanced Manufacturing (14)
- Advanced Reactors (4)
- Artificial Intelligence (10)
- Big Data (10)
- Bioenergy (8)
- Biology (5)
- Biomedical (10)
- Biotechnology (1)
- Buildings (9)
- Clean Water (2)
- Climate Change (13)
- Composites (2)
- Critical Materials (1)
- Cybersecurity (5)
- Decarbonization (9)
- Energy Storage (17)
- Environment (16)
- Exascale Computing (4)
- Frontier (4)
- Fusion (4)
- Grid (10)
- High-Performance Computing (7)
- Hydropower (1)
- Machine Learning (9)
- Materials (6)
- Materials Science (13)
- Mathematics (2)
- Nanotechnology (3)
- National Security (7)
- Net Zero (1)
- Neutron Science (5)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (1)
- Polymers (3)
- Quantum Computing (5)
- Security (4)
- Simulation (4)
- Summit (14)
- Sustainable Energy (18)
- Transportation (14)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.
Travis Humble has been named director of the Quantum Science Center headquartered at ORNL. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.