Filter News
Area of Research
- Advanced Manufacturing (22)
- Biology and Environment (20)
- Building Technologies (1)
- Clean Energy (85)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Fusion Energy (8)
- Materials (25)
- Materials for Computing (5)
- National Security (5)
- Neutron Science (12)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (47)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (128)
- (-) Advanced Reactors (34)
- (-) Microelectronics (4)
- (-) Summit (60)
- Artificial Intelligence (101)
- 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 (198)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (201)
- Exascale Computing (43)
- Fossil Energy (6)
- Frontier (45)
- Fusion (58)
- Grid (66)
- High-Performance Computing (94)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Machine Learning (51)
- Materials (148)
- Materials Science (147)
- Mathematics (10)
- Mercury (12)
- Microscopy (51)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (73)
- Net Zero (14)
- Neutron Science (138)
- Nuclear Energy (111)
- Partnerships (51)
- Physics (64)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (72)
- Renewable Energy (2)
- Security (25)
- Simulation (52)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (99)
Media Contacts
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
Researchers at ORNL became the first to 3D-print large rotating steam turbine blades for generating energy in power plants.
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.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Anne Campbell, a researcher at ORNL, recently won the Young Leaders Professional Development Award from the Minerals, Metals & Materials Society, or TMS, and has been chosen as the first recipient of the Young Leaders International Scholar Program award from TMS and the Korean Institute of Metals and Materials, or KIM.
The Hub & Spoke Sustainable Materials & Manufacturing Alliance for Renewable Technologies, or SM2ART, program has been honored with the composites industry’s Combined Strength Award at the Composites and Advanced Materials Expo, or CAMX, 2023 in Atlanta. This distinction goes to the team that applies their knowledge, resources and talent to solve a problem by making the best use of composites materials.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
An Oak Ridge National Laboratory-developed advanced manufacturing technology, AMCM, was recently licensed by Orbital Composites and enables the rapid production of composite-based components, which could accelerate the decarbonization of vehicles
Researchers at the Department of Energy’s Oak Ridge National Laboratory, in collaboration with NASA, are taking additive manufacturing to the final frontier by 3D printing the same kind of wheel as the design used by NASA for its robotic lunar rover, demonstrating the technology for specialized parts needed for space exploration.
Oak Ridge National Laboratory researchers have conducted a comprehensive life cycle, cost and carbon emissions analysis on 3D-printed molds for precast concrete and determined the method is economically beneficial compared to conventional wood molds.