Filter News
Area of Research
- Biology and Environment (23)
- Biology and Soft Matter (1)
- Clean Energy (19)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Isotopes (2)
- Materials (37)
- Materials for Computing (5)
- National Security (8)
- Neutron Science (2)
- Nuclear Science and Technology (5)
- Supercomputing (16)
News Topics
- (-) Big Data (12)
- (-) Chemical Sciences (15)
- (-) Climate Change (27)
- (-) Fusion (12)
- (-) Isotopes (10)
- (-) Materials Science (28)
- (-) Nuclear Energy (20)
- (-) Polymers (10)
- 3-D Printing/Advanced Manufacturing (18)
- Advanced Reactors (5)
- Artificial Intelligence (16)
- Bioenergy (23)
- Biology (30)
- Biomedical (10)
- Biotechnology (3)
- Buildings (16)
- Clean Water (6)
- Composites (7)
- Computer Science (40)
- Coronavirus (9)
- Critical Materials (5)
- Cybersecurity (12)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (28)
- Environment (43)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (10)
- Grid (16)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- ITER (2)
- Machine Learning (10)
- Materials (37)
- Mercury (3)
- Microscopy (19)
- Molten Salt (4)
- Nanotechnology (18)
- National Security (17)
- Net Zero (2)
- Neutron Science (22)
- Partnerships (8)
- Physics (21)
- Quantum Computing (7)
- Quantum Science (12)
- Security (11)
- Simulation (6)
- Space Exploration (6)
- Summit (9)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
- Transportation (19)
Media Contacts
![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 ...
![Advanced materials take flight in the LEAP engine, featuring ceramic matrix composites developed over a quarter-century by GE with help from DOE and ORNL. Image credit: General Electric Advanced materials take flight in the LEAP engine, featuring ceramic matrix composites developed over a quarter-century by GE with help from DOE and ORNL. Image credit: General Electric](/sites/default/files/styles/list_page_thumbnail/public/GE1main_0.jpg?itok=sqLo7TAa)
Ceramic matrix composite (CMC) materials are made of coated ceramic fibers surrounded by a ceramic matrix. They are tough, lightweight and capable of withstanding temperatures 300–400 degrees F hotter than metal alloys can endure. If certain components were made with CMCs instead o...