Filter News
Area of Research
- (-) Biology and Environment (77)
- (-) Isotopes (5)
- (-) Supercomputing (31)
- Advanced Manufacturing (6)
- Building Technologies (2)
- Clean Energy (133)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (8)
- Materials (38)
- Materials for Computing (6)
- Mathematics (1)
- National Security (10)
- Neutron Science (17)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Biomedical (20)
- (-) Climate Change (28)
- (-) Environment (61)
- (-) Molten Salt (1)
- (-) Sustainable Energy (23)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (11)
- Artificial Intelligence (15)
- Big Data (9)
- Bioenergy (33)
- Biology (49)
- Biotechnology (9)
- Buildings (3)
- Chemical Sciences (13)
- Clean Water (7)
- Composites (5)
- Computer Science (56)
- Coronavirus (14)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (9)
- Energy Storage (10)
- Exascale Computing (10)
- Frontier (14)
- Fusion (2)
- Grid (5)
- High-Performance Computing (28)
- Hydropower (5)
- Irradiation (1)
- Isotopes (17)
- Machine Learning (9)
- Materials (20)
- Materials Science (13)
- Mathematics (2)
- Mercury (4)
- Microscopy (12)
- Nanotechnology (9)
- National Security (6)
- Net Zero (2)
- Neutron Science (10)
- Nuclear Energy (4)
- Partnerships (5)
- Physics (5)
- Polymers (4)
- Quantum Computing (9)
- Quantum Science (13)
- Security (4)
- Simulation (10)
- Space Exploration (3)
- Summit (23)
- Transformational Challenge Reactor (1)
Media Contacts
![Small modular reactor computer simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-04/Nuclear_simulation_scale-up.jpg?h=5992a83f&itok=A0oscIPL)
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
![(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.
![Laminations such as these are compiled to form the core of modern electric vehicle motors. ORNL has developed a software toolkit to speed the development of new motor designs and to improve the accuracy of their real-world performance.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/Motors_OeRSTED_0.jpg?h=af53702d&itok=mT24R4WI)
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![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...