Filter News
Area of Research
- (-) Supercomputing (79)
- Advanced Manufacturing (10)
- Biological Systems (1)
- Biology and Environment (99)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (145)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (63)
- Materials for Computing (10)
- Mathematics (1)
- National Security (29)
- Neutron Science (25)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) Biomedical (17)
- (-) Climate Change (17)
- (-) Grid (5)
- (-) Machine Learning (14)
- (-) Nuclear Energy (4)
- (-) Quantum Science (24)
- (-) Sustainable Energy (10)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (20)
- Bioenergy (9)
- Biology (11)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (24)
- Frontier (29)
- Fusion (1)
- High-Performance Computing (40)
- Isotopes (2)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Security (5)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (43)
- Transportation (6)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.