![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
News Type
News Topics
- (-) Big Data (36)
- (-) Fossil Energy (5)
- (-) Microscopy (36)
- 3-D Printing/Advanced Manufacturing (85)
- 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)
- Computer Science (146)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (65)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (140)
- Exascale Computing (37)
- Frontier (40)
- Fusion (45)
- Grid (41)
- High-Performance Computing (75)
- Hydropower (5)
- Isotopes (47)
- ITER (4)
- Machine Learning (35)
- Materials (101)
- Materials Science (98)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (62)
- Net Zero (11)
- Neutron Science (99)
- Nuclear Energy (82)
- Partnerships (48)
- Physics (54)
- Polymers (20)
- Quantum Computing (32)
- Quantum Science (58)
- 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
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
![ORNL alanine_graphic.jpg ORNL alanine_graphic.jpg](/sites/default/files/styles/list_page_thumbnail/public/ORNL%20alanine_graphic.jpg?itok=iRLfcOw-)
OAK RIDGE, Tenn., Jan. 31, 2019—A new electron microscopy technique that detects the subtle changes in the weight of proteins at the nanoscale—while keeping the sample intact—could open a new pathway for deeper, more comprehensive studies of the basic building blocks of life.
![Schematic drawing of the boron nitride cell. Credit: University of Illinois at Chicago. Schematic drawing of the boron nitride cell. Credit: University of Illinois at Chicago.](/sites/default/files/styles/list_page_thumbnail/public/news/images/schematic1.jpg?itok=iYCttAg3)
A new microscopy technique developed at the University of Illinois at Chicago allows researchers to visualize liquids at the nanoscale level — about 10 times more resolution than with traditional transmission electron microscopy — for the first time. By trapping minute amounts of...
![From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P00413.jpg?itok=UKejk7r2)
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy. Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2012-P03136%281%29.jpg?itok=i0w1NZWs)
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...
![ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/Sang_2016-P07680_0.jpg?itok=w0e5eR_U)
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...