Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (32)
- Biology and Soft Matter (1)
- Computational Biology (2)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Energy Science (35)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (6)
- Materials (13)
- Materials for Computing (2)
- National Security (3)
- Neutron Science (16)
- Nuclear Science and Technology (3)
- Supercomputing (20)
- Transportation Systems (1)
News Topics
- (-) Biomedical (73)
- 3-D Printing/Advanced Manufacturing (144)
- Advanced Reactors (40)
- Artificial Intelligence (125)
- Big Data (77)
- Bioenergy (110)
- Biology (126)
- Biotechnology (37)
- Buildings (73)
- Chemical Sciences (84)
- Clean Water (32)
- Composites (34)
- Computer Science (223)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Exascale Computing (64)
- Fossil Energy (8)
- Frontier (62)
- Fusion (65)
- Grid (74)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (67)
- Materials (156)
- Materials Science (156)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (63)
- National Security (86)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (66)
- Physics (68)
- Polymers (35)
- Quantum Computing (52)
- Quantum Science (88)
- Security (30)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
141 - 150 of 156 Results

A versatile class of flexible, protein-like polymers could significantly advance future drug delivery methods. But first, scientists have to develop a reliable process for tailoring these polymers into shapes that can effectively transport medicines throughout the human body.

Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight

Biological membranes, such as the “walls” of most types of living cells, primarily consist of a double layer of lipids, or “lipid bilayer,” that forms the structure, and a variety of embedded and attached proteins with highly specialized functions, including proteins that rapidly and selectively transport ions and molecules in and out of the cell.

As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.

Oak Ridge National Laboratory will partner with Cincinnati Children’s Hospital Medical Center to explore ways to deploy expertise in health data science that could more quickly identify patients’ mental health risk factors and aid in

A select group gathered on the morning of Dec. 20 at the Department of Energy’s Oak Ridge National Laboratory for a symposium in honor of Liane B. Russell, the renowned ORNL mammalian geneticist who died in July.

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 20, 2019—Direct observations of the structure and catalytic mechanism of a prototypical kinase enzyme—protein kinase A or PKA—will provide researchers and drug developers with significantly enhanced abilities to understand and treat fatal diseases and neurological disorders such as cancer, diabetes, and cystic fibrosis.


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.