Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (27)
- Clean Energy (67)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (12)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (64)
- Materials for Computing (10)
- National Security (31)
- Neutron Science (26)
- Nuclear Science and Technology (13)
- Quantum information Science (9)
- Sensors and Controls (2)
- Supercomputing (94)
News Topics
- (-) Artificial Intelligence (102)
- (-) Frontier (46)
- (-) Fusion (59)
- (-) Grid (67)
- (-) Machine Learning (51)
- (-) Nanotechnology (60)
- (-) Quantum Science (72)
- (-) Security (26)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (128)
- Advanced Reactors (35)
- Big Data (62)
- Bioenergy (92)
- Biology (101)
- Biomedical (61)
- Biotechnology (24)
- Buildings (67)
- Chemical Sciences (73)
- Clean Water (31)
- Climate Change (106)
- Composites (30)
- Computer Science (199)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (201)
- Exascale Computing (44)
- Fossil Energy (6)
- High-Performance Computing (94)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Materials (149)
- Materials Science (149)
- Mathematics (10)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (9)
- National Security (73)
- Net Zero (14)
- Neutron Science (139)
- Nuclear Energy (111)
- Partnerships (51)
- Physics (64)
- Polymers (33)
- Quantum Computing (38)
- Renewable Energy (2)
- Simulation (53)
- Software (1)
- Statistics (3)
- Summit (61)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (99)
Media Contacts
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
Nuclear engineering students from the United States Military Academy and United States Naval Academy are working with researchers at ORNL to complete design concepts for a nuclear propulsion rocket to go to space in 2027 as part of the Defense Advanced Research Projects Agency DRACO program.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
ORNL is leading three research collaborations with fusion industry partners through the Innovation Network for FUSion Energy, or INFUSE, program that will focus on resolving technical challenges and developing innovative solutions to make practical fusion energy a reality.
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for