Filter News
Area of Research
- Advanced Manufacturing (16)
- Biology and Environment (35)
- Building Technologies (1)
- Clean Energy (130)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (9)
- Fusion Energy (6)
- Isotopes (1)
- Materials (45)
- Materials for Computing (5)
- Mathematics (1)
- National Security (20)
- Neutron Science (15)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (44)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (83)
- (-) Advanced Reactors (26)
- (-) Artificial Intelligence (66)
- (-) Big Data (41)
- (-) Clean Water (27)
- (-) Energy Storage (74)
- (-) Grid (46)
- (-) Machine Learning (33)
- (-) Mathematics (6)
- Bioenergy (70)
- Biology (80)
- Biomedical (43)
- Biotechnology (13)
- Buildings (41)
- Chemical Sciences (40)
- Climate Change (76)
- Composites (19)
- Computer Science (134)
- Coronavirus (32)
- Critical Materials (14)
- Cybersecurity (23)
- Decarbonization (54)
- Education (1)
- Emergency (2)
- Environment (157)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (27)
- Fusion (45)
- High-Performance Computing (64)
- Hydropower (11)
- Irradiation (3)
- Isotopes (37)
- ITER (6)
- Materials (106)
- Materials Science (95)
- Mercury (10)
- Microelectronics (2)
- Microscopy (39)
- Molten Salt (7)
- Nanotechnology (40)
- National Security (43)
- Net Zero (10)
- Neutron Science (85)
- Nuclear Energy (83)
- Partnerships (19)
- Physics (36)
- Polymers (22)
- Quantum Computing (24)
- Quantum Science (42)
- Renewable Energy (1)
- Security (14)
- Simulation (40)
- Software (1)
- Space Exploration (23)
- Statistics (1)
- Summit (38)
- Sustainable Energy (95)
- Transformational Challenge Reactor (4)
- Transportation (71)
Media Contacts
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional organization
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
Prasanna Balaprakash, a national leader in artificial intelligence, or AI, spoke to some of the highest achieving students in the country at the National Science Bowl in Washington D.C.
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
Momentum for manufacturing innovation in the United States got a boost during the inaugural MDF Innovation Days, held recently at the U.S. Department of Energy Manufacturing Demonstration Facility at Oak Ridge National Laboratory.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.