Filter News
Area of Research
- (-) National Security (24)
- (-) Supercomputing (79)
- (-) Transportation Systems (1)
- Advanced Manufacturing (6)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Clean Energy (102)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (33)
- Fusion Energy (12)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (137)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (41)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Big Data (22)
- (-) Biotechnology (3)
- (-) Climate Change (20)
- (-) Exascale Computing (22)
- (-) Grid (11)
- (-) Materials Science (18)
- (-) Mathematics (1)
- (-) Nanotechnology (11)
- (-) Nuclear Energy (8)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (45)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Buildings (4)
- Chemical Sciences (5)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (7)
- Energy Storage (9)
- Environment (25)
- Frontier (28)
- Fusion (2)
- High-Performance Computing (40)
- Isotopes (1)
- Machine Learning (23)
- Materials (16)
- Microscopy (7)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (10)
Media Contacts
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
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.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
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.
The Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
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.