Filter News
Area of Research
- (-) Fusion and Fission (4)
- (-) National Security (11)
- (-) Nuclear Science and Technology (1)
- (-) Supercomputing (59)
- Biology and Environment (67)
- Biology and Soft Matter (1)
- Clean Energy (32)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Fusion Energy (1)
- Materials (19)
- Materials for Computing (5)
- Neutron Science (11)
- Quantum information Science (2)
News Topics
- (-) Computer Science (49)
- (-) Environment (17)
- (-) Frontier (14)
- (-) Mathematics (1)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (6)
- Artificial Intelligence (25)
- Big Data (15)
- Bioenergy (5)
- Biology (8)
- Biomedical (7)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (15)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (2)
- Exascale Computing (13)
- Fusion (18)
- Grid (5)
- High-Performance Computing (23)
- Isotopes (2)
- ITER (2)
- Machine Learning (13)
- Materials (5)
- Materials Science (11)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (23)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (35)
- Partnerships (1)
- Physics (5)
- Quantum Computing (10)
- Quantum Science (11)
- Security (6)
- Simulation (12)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
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
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.
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
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.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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 new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.