Filter News
Area of Research
- (-) National Security (21)
- (-) Nuclear Science and Technology (5)
- (-) Supercomputing (89)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (117)
- Biology and Soft Matter (1)
- Clean Energy (136)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (7)
- Materials (105)
- Materials for Computing (10)
- Mathematics (1)
- Neutron Science (41)
- Quantum information Science (3)
News Topics
- (-) Biomedical (19)
- (-) Energy Storage (9)
- (-) Environment (26)
- (-) Machine Learning (23)
- (-) Microscopy (7)
- (-) Physics (10)
- (-) Summit (42)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (13)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (105)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Exascale Computing (22)
- Frontier (28)
- Fusion (10)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (6)
- Materials (16)
- Materials Science (20)
- Mathematics (1)
- Molten Salt (5)
- Nanotechnology (11)
- National Security (35)
- Net Zero (1)
- Neutron Science (19)
- Nuclear Energy (42)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (8)
- Sustainable Energy (12)
- Transformational Challenge Reactor (3)
- Transportation (8)
Media Contacts
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
Environmental scientists at ORNL have recently expanded collaborations with minority-serving institutions and historically Black colleges and universities across the nation to broaden the experiences and skills of student scientists while bringing fresh insights to the national lab’s missions.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.