Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (68)
- Biology and Soft Matter (1)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (6)
- Isotopes (5)
- Materials (36)
- Materials for Computing (7)
- National Security (10)
- Neutron Science (15)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (45)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (43)
- (-) Bioenergy (51)
- (-) Biology (60)
- (-) Biomedical (31)
- (-) Climate Change (52)
- (-) Composites (8)
- (-) Frontier (27)
- (-) Materials Science (49)
- (-) Nanotechnology (16)
- (-) Physics (31)
- (-) Software (1)
- Advanced Reactors (8)
- Artificial Intelligence (51)
- Big Data (30)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (27)
- Clean Water (15)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (31)
- Fossil Energy (4)
- Fusion (31)
- Grid (26)
- High-Performance Computing (49)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (46)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- National Security (47)
- Net Zero (8)
- Neutron Science (53)
- Nuclear Energy (56)
- Partnerships (21)
- Polymers (8)
- Quantum Computing (23)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (34)
- Space Exploration (12)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
Ancient Greeks imagined that everything in the natural world came from their goddess Physis; her name is the source of the word physics.
Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory have new experimental evidence and a predictive theory that solves a long-standing materials science mystery: why certain crystalline materials shrink when heated.
Scientists at the US Department of Energy’s Oak Ridge National Laboratory have demonstrated a method to insert genes into a variety of microorganisms that previously would not accept foreign DNA, with the goal of creating custom microbes to break down plants for bioenergy.
Early career scientist Stephanie Galanie has applied her expertise in synthetic biology to a number of challenges in academia and private industry. She’s now bringing her skills in high-throughput bio- and analytical chemistry to accelerate research on feedstock crops as a Liane B. Russell Fellow at Oak Ridge National Laboratory.
In the shifting landscape of global manufacturing, American ingenuity is once again giving U.S companies an edge with radical productivity improvements as a result of advanced materials and robotic systems developed at the Department of Energy’s Manufacturing Demonstration Facility (MDF) at Oak Ridge National Laboratory.
When Scott Smith looks at a machine tool, he thinks not about what the powerful equipment used to shape metal can do – he’s imagining what it could do with the right added parts and strategies. As ORNL’s leader for a newly formed group, Machining and Machine Tool Research, Smith will have the opportunity to do just that.
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.