Filter News
Area of Research
- (-) Biology and Environment (25)
- (-) Nuclear Science and Technology (4)
- (-) Supercomputing (57)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Clean Energy (21)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (5)
- Isotopes (17)
- Materials (39)
- Materials for Computing (6)
- National Security (24)
- Neutron Science (38)
- Quantum information Science (2)
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Biomedical (15)
- (-) Composites (1)
- (-) Computer Science (51)
- (-) Cybersecurity (2)
- (-) Isotopes (2)
- (-) Machine Learning (9)
- (-) Nanotechnology (7)
- (-) Neutron Science (6)
- (-) Physics (5)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (4)
- Big Data (17)
- Bioenergy (26)
- Biology (43)
- Biotechnology (7)
- Buildings (2)
- Chemical Sciences (4)
- Clean Water (8)
- Climate Change (32)
- Coronavirus (10)
- Decarbonization (16)
- Energy Storage (2)
- Environment (65)
- Exascale Computing (14)
- Frontier (13)
- Fusion (6)
- Grid (1)
- High-Performance Computing (27)
- Hydropower (5)
- Materials (5)
- Materials Science (12)
- Mathematics (3)
- Mercury (6)
- Microscopy (8)
- Molten Salt (1)
- National Security (4)
- Net Zero (2)
- Nuclear Energy (19)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (10)
- Renewable Energy (1)
- Security (1)
- Simulation (15)
- Software (1)
- Summit (23)
- Sustainable Energy (17)
- Transformational Challenge Reactor (2)
- Transportation (3)
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.
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.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.