Filter News
Area of Research
- Biology and Environment (18)
- Clean Energy (19)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (4)
- Isotopes (2)
- Materials (17)
- Materials for Computing (5)
- National Security (14)
- Neutron Science (8)
- Nuclear Science and Technology (6)
- Quantum information Science (3)
- Supercomputing (46)
News Type
News Topics
- (-) Advanced Reactors (6)
- (-) Composites (5)
- (-) Computer Science (76)
- (-) Cybersecurity (14)
- (-) Microscopy (19)
- (-) Space Exploration (11)
- 3-D Printing/Advanced Manufacturing (33)
- Artificial Intelligence (38)
- Big Data (21)
- Bioenergy (46)
- Biology (53)
- Biomedical (26)
- Biotechnology (9)
- Buildings (16)
- Chemical Sciences (19)
- Clean Water (14)
- Climate Change (44)
- Coronavirus (17)
- Critical Materials (1)
- Decarbonization (39)
- Emergency (2)
- Energy Storage (28)
- Environment (98)
- Exascale Computing (21)
- Fossil Energy (3)
- Frontier (19)
- Fusion (27)
- Grid (21)
- High-Performance Computing (38)
- Hydropower (5)
- Isotopes (23)
- ITER (2)
- Machine Learning (19)
- Materials (37)
- Materials Science (37)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (30)
- Net Zero (6)
- Neutron Science (43)
- Nuclear Energy (49)
- Partnerships (11)
- Physics (25)
- Polymers (7)
- Quantum Computing (15)
- Quantum Science (24)
- Renewable Energy (1)
- Security (10)
- Simulation (25)
- Software (1)
- Summit (29)
- Sustainable Energy (37)
- Transformational Challenge Reactor (3)
- Transportation (25)
Media Contacts
Chemical and environmental engineer Samarthya Bhagia is focused on achieving carbon neutrality and a circular economy by designing new plant-based materials for a range of applications from energy storage devices and sensors to environmentally friendly bioplastics.
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
Jennifer Morrell-Falvey’s interest in visualizing the science behind natural processes was what drew her to ORNL in what she expected to be a short stint some 18 years ago.
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.
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.