Filter News
Area of Research
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Artificial Intelligence (2)
- (-) Bioenergy (4)
- (-) Chemical Sciences (1)
- (-) Polymers (2)
- Biology (6)
- Biotechnology (1)
- Clean Water (2)
- Climate Change (6)
- Composites (2)
- Computer Science (10)
- Coronavirus (1)
- Critical Materials (1)
- Cybersecurity (3)
- Energy Storage (1)
- Environment (9)
- Frontier (3)
- Fusion (1)
- High-Performance Computing (5)
- Machine Learning (1)
- Materials (3)
- Materials Science (2)
- Microscopy (2)
- Nanotechnology (1)
- National Security (1)
- Neutron Science (1)
- Physics (1)
- Quantum Computing (4)
- Quantum Science (3)
- Security (1)
- Summit (5)
- Sustainable Energy (3)
- Transportation (1)
Media Contacts
An analysis by Oak Ridge National Laboratory shows that using less-profitable farmland to grow bioenergy crops such as switchgrass could fuel not only clean energy, but also gains in biodiversity.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
An ORNL team has successfully introduced a poplar gene into switchgrass, an important biofuel source, that allows switchgrass to interact with a beneficial fungus, ultimately boosting the grass’ growth and viability in changing environments.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
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