Filter News
Area of Research
- Advanced Manufacturing (10)
- Biology and Environment (27)
- Building Technologies (2)
- Clean Energy (90)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (72)
- Materials Characterization (1)
- Materials for Computing (15)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (12)
- Neutron Science (19)
- Nuclear Science and Technology (3)
- Quantum information Science (5)
- Supercomputing (63)
- Transportation Systems (1)
News Type
News Topics
- (-) Computer Science (106)
- (-) Frontier (18)
- (-) Machine Learning (26)
- (-) Materials Science (91)
- (-) Polymers (22)
- (-) Sustainable Energy (82)
- 3-D Printing/Advanced Manufacturing (83)
- Advanced Reactors (26)
- Artificial Intelligence (51)
- Big Data (29)
- Bioenergy (40)
- Biology (41)
- Biomedical (29)
- Biotechnology (11)
- Buildings (41)
- Chemical Sciences (49)
- Clean Water (15)
- Climate Change (50)
- Composites (21)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (21)
- Decarbonization (35)
- Education (3)
- Element Discovery (1)
- Energy Storage (78)
- Environment (90)
- Exascale Computing (14)
- Fossil Energy (2)
- Fusion (27)
- Grid (40)
- High-Performance Computing (46)
- Hydropower (6)
- Irradiation (3)
- Isotopes (27)
- ITER (5)
- Materials (105)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (29)
- Molten Salt (8)
- Nanotechnology (40)
- National Security (25)
- Net Zero (6)
- Neutron Science (85)
- Nuclear Energy (54)
- Partnerships (31)
- Physics (28)
- Quantum Computing (16)
- Quantum Science (40)
- Renewable Energy (1)
- Security (13)
- Simulation (19)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Summit (28)
- Transformational Challenge Reactor (4)
- Transportation (69)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
Researcher Rocio Uria-Martinez was named one of four “Women with Hydro Vision” at this year’s HYDROVISION International 2024 conference taking place in Denver this week. Awarded by a committee of industry peers, the honor recognizes women who use their unique talents and vision to improve and advance the worldwide hydropower industry.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.