Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (35)
- Clean Energy (16)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (2)
- Materials (10)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (9)
- Nuclear Science and Technology (1)
- Quantum information Science (4)
- Supercomputing (51)
News Type
News Topics
- (-) Bioenergy (48)
- (-) Computer Science (78)
- (-) Quantum Science (25)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (7)
- Artificial Intelligence (39)
- Big Data (21)
- Biology (53)
- Biomedical (26)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (45)
- Composites (5)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (42)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (22)
- Fossil Energy (4)
- Frontier (21)
- Fusion (28)
- Grid (21)
- High-Performance Computing (40)
- Hydropower (5)
- Isotopes (23)
- ITER (2)
- Machine Learning (19)
- Materials (39)
- Materials Science (38)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (30)
- Net Zero (7)
- Neutron Science (43)
- Nuclear Energy (50)
- Partnerships (12)
- Physics (25)
- Polymers (7)
- Quantum Computing (15)
- Renewable Energy (1)
- Security (10)
- Simulation (26)
- Software (1)
- Space Exploration (11)
- Summit (30)
- Sustainable Energy (39)
- Transformational Challenge Reactor (3)
- Transportation (26)
Media Contacts
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.
The first climate scientist to head the Department of Energy’s Office of Science, Dr. Asmeret Asefaw Berhe, recently visited two ORNL-led field research facilities in Minnesota and Alaska to witness how these critically important projects are informing our understanding of the future climate and its impact on communities.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
To better understand important dynamics at play in flood-prone coastal areas, Oak Ridge National Laboratory scientists working on simulations of Earth’s carbon and nutrient cycles paid a visit to experimentalists gathering data in a Texas wetland.
Scientist Xiaohan Yang’s research at the Department of Energy’s Oak Ridge National Laboratory focuses on transforming plants to make them better sources of renewable energy and carbon storage.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Oak Ridge National Laboratory researchers recently demonstrated use of a laser-based analytical method to accelerate understanding of critical plant and soil properties that affect bioenergy plant growth and soil carbon storage.
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing Symposium.