Filter News
Area of Research
- Advanced Manufacturing (8)
- Biology and Environment (13)
- Clean Energy (40)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (19)
- Materials for Computing (4)
- National Security (14)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (36)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (52)
- (-) Clean Water (2)
- (-) Cybersecurity (18)
- (-) Exascale Computing (13)
- (-) Machine Learning (14)
- (-) Space Exploration (3)
- (-) Summit (22)
- Advanced Reactors (13)
- Artificial Intelligence (37)
- Big Data (12)
- Bioenergy (24)
- Biology (23)
- Biomedical (18)
- Biotechnology (8)
- Buildings (21)
- Chemical Sciences (38)
- Climate Change (26)
- Composites (12)
- Computer Science (66)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (24)
- Education (3)
- Element Discovery (1)
- Energy Storage (47)
- Environment (45)
- Fossil Energy (1)
- Frontier (17)
- Fusion (18)
- Grid (19)
- High-Performance Computing (35)
- Irradiation (1)
- Isotopes (22)
- ITER (2)
- Materials (69)
- Materials Science (57)
- Mercury (2)
- Microelectronics (1)
- Microscopy (18)
- Molten Salt (3)
- Nanotechnology (28)
- National Security (22)
- Net Zero (4)
- Neutron Science (58)
- Nuclear Energy (35)
- Partnerships (30)
- Physics (24)
- Polymers (13)
- Quantum Computing (11)
- Quantum Science (29)
- Renewable Energy (1)
- Security (12)
- Simulation (12)
- Software (1)
- Statistics (1)
- Sustainable Energy (37)
- Transformational Challenge Reactor (4)
- Transportation (33)
Media Contacts
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
ORNL is working with industry partners to develop a technique that combines 3D printing and conventional machining to produce large metal parts for clean energy applications. The project, known as Rapid Research on Universal Near Net Shape Fabrication Strategies for Expedited Runner Systems, or Rapid RUNNERS, recently received $15 million in funding from DOE.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
The Society of Manufacturing Engineers has honored three Oak Ridge National Laboratory researchers with the 2024 SME Susan Smyth Outstanding Young Manufacturing Engineer Award.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.