Filter News
Area of Research
- (-) Computational Biology (2)
- (-) Materials (28)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (31)
- Clean Energy (80)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotopes (5)
- Materials for Computing (7)
- National Security (15)
- Neutron Science (20)
- Nuclear Science and Technology (2)
- Supercomputing (50)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (10)
- (-) Biomedical (9)
- (-) Transportation (14)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (4)
- Big Data (2)
- Bioenergy (11)
- Biology (6)
- Buildings (5)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (5)
- Composites (9)
- Computer Science (18)
- Coronavirus (5)
- Critical Materials (13)
- Cybersecurity (4)
- Decarbonization (7)
- Energy Storage (34)
- Environment (15)
- Exascale Computing (2)
- Frontier (3)
- Fusion (7)
- Grid (5)
- High-Performance Computing (6)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Machine Learning (5)
- Materials (73)
- Materials Science (78)
- Mathematics (1)
- Microscopy (27)
- Molten Salt (3)
- Nanotechnology (39)
- National Security (3)
- Net Zero (1)
- Neutron Science (34)
- Nuclear Energy (16)
- Partnerships (11)
- Physics (29)
- Polymers (17)
- Quantum Computing (3)
- Quantum Science (11)
- Renewable Energy (1)
- Security (2)
- Simulation (1)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (13)
- Transformational Challenge Reactor (3)
Media Contacts
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.