Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (13)
- Clean Energy (36)
- Computational Engineering (1)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (21)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (20)
- Materials for Computing (2)
- National Security (20)
- Neutron Science (8)
- Nuclear Science and Technology (10)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (44)
News Type
News Topics
- (-) Computer Science (70)
- (-) Education (3)
- (-) Fusion (21)
- (-) Grid (22)
- (-) Machine Learning (18)
- (-) Nuclear Energy (39)
- (-) Quantum Computing (10)
- (-) Security (17)
- 3-D Printing/Advanced Manufacturing (56)
- Advanced Reactors (12)
- Artificial Intelligence (33)
- Big Data (14)
- Bioenergy (41)
- Biology (43)
- Biomedical (25)
- Biotechnology (11)
- Buildings (22)
- Chemical Sciences (38)
- Clean Water (7)
- Climate Change (37)
- Composites (11)
- Coronavirus (23)
- Critical Materials (12)
- Cybersecurity (23)
- Decarbonization (33)
- Element Discovery (1)
- Energy Storage (55)
- Environment (73)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (17)
- High-Performance Computing (35)
- Hydropower (2)
- Isotopes (27)
- ITER (3)
- Materials (66)
- Materials Science (62)
- Mathematics (4)
- Mercury (6)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (32)
- National Security (33)
- Net Zero (5)
- Neutron Science (57)
- Partnerships (27)
- Physics (40)
- Polymers (17)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (12)
- Space Exploration (3)
- Statistics (2)
- Summit (22)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (36)
Media Contacts
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
EPB, ORNL announce plans for research collaborative focused on energy resilience, quantum technology
EPB and ORNL marked 10 years of collaboration with the announcement of the new Collaborative for Energy Resilience and Quantum Science. The new joint research effort will focus on utilizing Chattanooga’s highly advanced and integrated energy and communications infrastructure to develop technologies and best practices for enhancing the resilience and security of the national power grid while accelerating the commercialization of quantum technologies.
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%.
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
A team of researchers associated with the Quantum Science Center headquartered at the Department of Energy's Oak Ridge National Laboratory has confirmed the presence of quantum spin liquid behavior in a new material with a triangular lattice, KYbSe2.
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.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
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.
Walters is working with a team of geographers, linguists, economists, data scientists and software engineers to apply cultural knowledge and patterns to open-source data in an effort to document and report patterns of human movement through previously unstudied spaces.