Filter News
Area of Research
- (-) Materials (84)
- (-) Nuclear Science and Technology (6)
- (-) Supercomputing (35)
- Advanced Manufacturing (5)
- Biological Systems (4)
- Biology and Environment (23)
- Building Technologies (2)
- Chemistry and Physics at Interfaces (4)
- Clean Energy (74)
- Computational Engineering (1)
- Computer Science (1)
- Energy Frontier Research Centers (5)
- Fossil Energy (1)
- Functional Materials for Energy (4)
- Fusion and Fission (5)
- Geographic Information Science and Technology (1)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials Characterization (2)
- Materials Synthesis from Atoms to Systems (3)
- Materials Under Extremes (5)
- National Security (13)
- Neutron Science (20)
- Quantum Condensed Matter (1)
- Reactor Technology (1)
- Renewable Energy (1)
- Transportation Systems (3)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (5)
- Bioenergy (1)
- Biology (2)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (9)
- Climate Change (4)
- Computer Science (4)
- Coronavirus (2)
- Critical Materials (3)
- Decarbonization (3)
- Energy Storage (3)
- Environment (2)
- Exascale Computing (4)
- Frontier (5)
- Grid (1)
- High-Performance Computing (7)
- Isotopes (1)
- Machine Learning (1)
- Materials (25)
- Materials Science (6)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (2)
- National Security (1)
- Net Zero (1)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (3)
- Physics (4)
- Polymers (2)
- Quantum Computing (1)
- Quantum Science (2)
- Renewable Energy (1)
- Security (1)
- Simulation (1)
- Space Exploration (1)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Hilda Klasky, a research scientist in ORNL’s Computing and Computational Sciences Directorate, has been named a fellow of the American Medical Informatics Association.
Caldera Holding, the owner and developer of Missouri’s Pea Ridge iron mine, has entered a nonexclusive research and development licensing agreement with ORNL to apply a membrane solvent extraction technique, or MSX, developed by ORNL researchers to mined ores.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
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.
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.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.