Filter News
Area of Research
News Topics
- (-) High-Performance Computing (6)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (4)
- Artificial Intelligence (10)
- Big Data (2)
- Bioenergy (11)
- Biology (6)
- Biomedical (9)
- 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)
- Hydropower (1)
- 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)
- Transportation (14)
Media Contacts
![Initially, Celeritas will accelerate simulation of data from the Compact Muon Solenoid detector (shown schematically) at CERN’s Large Hadron Collider. Credit: Seth Johnson/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/cms-xy_0.png?h=036a71b7&itok=1SEH1zwa)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are leading a new project to ensure that the fastest supercomputers can keep up with big data from high energy physics research.
![ORNL’s RapidCure improves lithium-ion electrode production by producing electrodes faster, reducing the energy necessary for manufacturing and eliminating the need for a solvent recycling unit. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/RapidCure_0.jpg?h=def3cf70&itok=BFENW6Cu)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
![Bobby Sumpter. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/sumptersummit_0.jpg?h=8f9cfe54&itok=UScKP4yF)
ORNL Corporate Fellow and Center for Nanophase Materials Sciences researcher Bobby Sumpter has been named fellow of two scientific professional societies: the Institute of Physics and the International Association of Advanced Materials.
![Genetic analysis revealed connections between inflammatory activity and development of atomic dermatitis, according to researchers from the UPenn School of Medicine, the Perelman School of Medicine, and Oak Ridge National Laboratory. Credit: Kang Ko/UPenn](/sites/default/files/styles/list_page_thumbnail/public/2022-02/Graves-AD_0.jpg?h=46d8a70d&itok=77AW7Swv)
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.
![Using quantum Monte Carlo methods, the researchers simulated bulk VO2. Yellow and turquoise represent changes in electron density between the excited and ground states of a compound composed of oxygen, in red, and vanadium, in blue, which allowed them to evaluate how an oxygen vacancy, in white, can alter the compound’s properties. Credit: Panchapakesan Ganesh/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/image001_0.png?h=11d99c73&itok=sdREw4na)
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
![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. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
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.