Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (11)
- Clean Energy (32)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (12)
- Materials for Computing (2)
- National Security (6)
- Neutron Science (8)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (14)
News Type
News Topics
- (-) Advanced Reactors (23)
- (-) Biomedical (28)
- (-) Fossil Energy (1)
- (-) Grid (35)
- (-) Nuclear Energy (45)
- 3-D Printing/Advanced Manufacturing (75)
- Artificial Intelligence (42)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Climate Change (44)
- Composites (18)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Frontier (15)
- Fusion (23)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Materials Science (83)
- Mathematics (1)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Partnerships (28)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Space Exploration (13)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
A new Department of Energy report produced by Oak Ridge National Laboratory identifies several supply chain must-haves in maintaining the pivotal role hydropower will play in decarbonizing the nation’s grid.
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 and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
A new fusion record was announced February 9 in the United Kingdom: At the Joint European Torus, or JET, the team documented the generation of 59 megajoules of sustained fusion energy, more than doubling the
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.
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.
A novel method to 3D print components for nuclear reactors, developed by the Department of Energy’s Oak Ridge National Laboratory, has been licensed by Ultra Safe Nuclear Corporation.
A team including researchers from the Department of Energy’s Oak Ridge National Laboratory has developed a digital tool to better monitor a condition known as Barrett’s esophagus, which affects more than 3 million people in the United States.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as