Filter News
Area of Research
- (-) Clean Energy (82)
- (-) Neutron Science (29)
- (-) Supercomputing (89)
- Advanced Manufacturing (3)
- Biology and Environment (59)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (7)
- Isotopes (1)
- Materials (88)
- Materials for Computing (10)
- Mathematics (1)
- National Security (39)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (7)
- (-) Climate Change (35)
- (-) Cybersecurity (15)
- (-) Exascale Computing (23)
- (-) Grid (42)
- (-) Machine Learning (21)
- (-) Nanotechnology (23)
- (-) Physics (16)
- (-) Quantum Science (30)
- 3-D Printing/Advanced Manufacturing (83)
- Artificial Intelligence (44)
- Big Data (25)
- Bioenergy (33)
- Biology (22)
- Biomedical (30)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (17)
- Clean Water (10)
- Composites (18)
- Computer Science (109)
- Coronavirus (28)
- Critical Materials (12)
- Decarbonization (36)
- Energy Storage (78)
- Environment (73)
- Fossil Energy (3)
- Frontier (29)
- Fusion (3)
- High-Performance Computing (40)
- Hydropower (2)
- Isotopes (1)
- Materials (56)
- Materials Science (57)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- National Security (11)
- Net Zero (4)
- Neutron Science (102)
- Nuclear Energy (13)
- Partnerships (12)
- Polymers (14)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (10)
- Simulation (16)
- Software (1)
- Space Exploration (8)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (70)
Media Contacts
Sreenivasa Jaldanki, a researcher in the Grid Systems Modeling and Controls group at the Department of Energy’s Oak Ridge National Laboratory, was recently elevated to senior membership in the Institute of Electrical and Electronics Engineers, or IEEE.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
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.
Carl Dukes’ career as an adept communicator got off to a slow start: He was about 5 years old when he spoke for the first time. “I’ve been making up for lost time ever since,” joked Dukes, a technical professional at the Department of Energy’s Oak Ridge National Laboratory.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.