Filter News
Area of Research
- (-) Materials (63)
- (-) Supercomputing (20)
- Advanced Manufacturing (1)
- Biology and Environment (22)
- Clean Energy (36)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (16)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials Characterization (1)
- Materials for Computing (8)
- Materials Under Extremes (1)
- National Security (9)
- Neutron Science (23)
- Nuclear Science and Technology (9)
- Sensors and Controls (1)
News Topics
- (-) Climate Change (7)
- (-) Environment (10)
- (-) Fusion (2)
- (-) Isotopes (5)
- (-) Materials Science (37)
- (-) Nuclear Energy (3)
- (-) Physics (17)
- (-) Polymers (6)
- (-) Security (4)
- (-) Simulation (1)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (1)
- Artificial Intelligence (14)
- Big Data (1)
- Bioenergy (12)
- Biology (7)
- Biomedical (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (20)
- Composites (3)
- Computer Science (32)
- Coronavirus (7)
- Critical Materials (8)
- Cybersecurity (6)
- Decarbonization (5)
- Energy Storage (20)
- Exascale Computing (7)
- Frontier (12)
- Grid (5)
- High-Performance Computing (13)
- ITER (1)
- Machine Learning (5)
- Materials (41)
- Microscopy (13)
- Molten Salt (2)
- Nanotechnology (23)
- National Security (5)
- Net Zero (1)
- Neutron Science (22)
- Partnerships (8)
- Quantum Computing (5)
- Quantum Science (17)
- Renewable Energy (1)
- Space Exploration (1)
- Summit (14)
- Sustainable Energy (9)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
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.
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.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.
An innovative and sustainable chemistry developed at ORNL for capturing carbon dioxide has been licensed to Holocene, a Knoxville-based startup focused on designing and building plants that remove carbon dioxide
Rigoberto Advincula, a renowned scientist at ORNL and professor of Chemical and Biomolecular Engineering at the University of Tennessee, has won the Netzsch North American Thermal Analysis Society Fellows Award for 2023.