![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- Advanced Manufacturing (10)
- Biology and Environment (41)
- Clean Energy (95)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (10)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (91)
- Materials Characterization (1)
- Materials for Computing (13)
- Materials Under Extremes (1)
- National Security (32)
- Neutron Science (34)
- Nuclear Science and Technology (8)
- Quantum information Science (5)
- Supercomputing (99)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (85)
- (-) Big Data (36)
- (-) Computer Science (146)
- (-) Grid (41)
- (-) Machine Learning (35)
- (-) Materials Science (98)
- (-) Nanotechnology (42)
- (-) Quantum Science (58)
- Advanced Reactors (18)
- Artificial Intelligence (81)
- Bioenergy (74)
- Biology (81)
- Biomedical (47)
- Biotechnology (19)
- Buildings (34)
- Chemical Sciences (56)
- Clean Water (17)
- Climate Change (74)
- Composites (18)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (65)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (140)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (40)
- Fusion (45)
- High-Performance Computing (75)
- Hydropower (5)
- Isotopes (47)
- ITER (4)
- Materials (101)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Microscopy (36)
- Molten Salt (3)
- National Security (63)
- Net Zero (11)
- Neutron Science (99)
- Nuclear Energy (82)
- Partnerships (48)
- Physics (54)
- Polymers (20)
- Quantum Computing (32)
- Renewable Energy (2)
- Security (23)
- Simulation (40)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (52)
- Sustainable Energy (78)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
![Scott Smith holding machined aluminum part](/sites/default/files/styles/list_page_thumbnail/public/2019-04/Scott%20SMith%201_0.png?h=250d6eb1&itok=qG5uPX7O)
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.
![The illustrations show how the correlation between lattice distortion and proton binding energy in a material affects proton conduction in different environments. Mitigating this interaction could help researchers improve the ionic conductivity of solid materials.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/Figure_Rosenthal_5-1-19_0.png?h=73c01546&itok=-tjVhDfm)
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
![ORNL staff members (from left) Ashley Shields, Michael Galloway, Ketan Maheshwari and Andrew Miskowiec are collaborating on a project focused on predicting and analyzing crystal structures of new uranium oxide phases. Credit: Jason Richards/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-03/teamphotoforhighlight_0.jpg?h=a00326b7&itok=O4yDtVj6)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
![Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (2–8), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/Slide1_0.png?h=c855054e&itok=aNbgxXsc)
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.
![Alex Roschli in front of BAAM](/sites/default/files/styles/list_page_thumbnail/public/2019-03/2018-p09585.jpg?h=af53702d&itok=YVD6zmU4)
Alex Roschli is no stranger to finding himself in unique situations. After all, the early career researcher in ORNL’s Manufacturing Systems Research group bears a last name that only 29 other people share in the United States, and he’s certain he’s the only Roschli (a moniker that hails from Switzerland) with the first name Alex.
![The concrete parts are installed in a residential and commercial tower (above center and below) on the site of the Domino Sugar Factory along the waterfront in Brooklyn. Windows in the tower resemble sugar crystals. Image credit: Gate Precast](/sites/default/files/styles/list_page_thumbnail/public/2019-03/392_4.jpg?h=2e111cc1&itok=PaciKdQX)
A residential and commercial tower under development in Brooklyn that is changing the New York City skyline has its roots in research at the Department of Energy’s Oak Ridge National Laboratory.
![In this MXene electrode, choosing the appropriate solvent for the electrolyte can increase energy density significantly. This scanning electron microscopy image shows fine features of a film only 5 microns thick—approximately 10 times narrower than a human hair. Credit: Drexel University; image by Tyler Mathis](/sites/default/files/styles/list_page_thumbnail/public/2019-03/MXene%20electrode_0.jpg?h=e9daaebf&itok=YNpINGl2)
![(From left) ORNL Associate Laboratory Director for Computing and Computational Sciences Jeff Nichols; ORNL Health Data Sciences Institute Director Gina Tourassi; DOE Deputy Under Secretary for Science Thomas Cubbage; ORNL Task Lead for Biostatistics Blair Christian; and ORNL Research Scientist Ioana Danciu were invited to the White House to showcase an ORNL-developed digital tool aimed at better matching cancer patients with clinical trials.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/TourassiWH%5B1%5D.png?h=26b5064d&itok=HUC2iYmE)
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.
![carbon nanospikes carbon nanospikes](/sites/default/files/styles/list_page_thumbnail/public/carbon_nanospikes.jpg?itok=D0GNAvH4)
OAK RIDGE, Tenn., March 1, 2019—ReactWell, LLC, has licensed a novel waste-to-fuel technology from the Department of Energy’s Oak Ridge National Laboratory to improve energy conversion methods for cleaner, more efficient oil and gas, chemical and