Filter News
Area of Research
- (-) Supercomputing (83)
- (-) Transportation Systems (2)
- Advanced Manufacturing (22)
- Biological Systems (2)
- Biology and Environment (66)
- Building Technologies (1)
- Clean Energy (173)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (101)
- Materials for Computing (16)
- Mathematics (1)
- National Security (28)
- Neutron Science (108)
- Nuclear Science and Technology (42)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Artificial Intelligence (36)
- (-) Bioenergy (9)
- (-) Exascale Computing (23)
- (-) Isotopes (2)
- (-) Mathematics (1)
- (-) Neutron Science (13)
- (-) Nuclear Energy (4)
- (-) Space Exploration (3)
- (-) Transportation (8)
- Advanced Reactors (1)
- Big Data (19)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (6)
- Energy Storage (8)
- Environment (21)
- Frontier (29)
- Fusion (1)
- Grid (5)
- High-Performance Computing (39)
- Machine Learning (14)
- Materials (15)
- Materials Science (17)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Partnerships (1)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (15)
- Software (1)
- Summit (42)
- Sustainable Energy (10)
Media Contacts
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the