![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (9)
- Clean Energy (14)
- Computational Engineering (1)
- Computer Science (4)
- Isotopes (4)
- Materials (15)
- Materials for Computing (2)
- National Security (2)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (20)
News Topics
- (-) Artificial Intelligence (20)
- (-) Biomedical (26)
- (-) Critical Materials (2)
- (-) Isotopes (9)
- (-) Mercury (2)
- (-) Microscopy (13)
- (-) Space Exploration (6)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (21)
- Big Data (18)
- Bioenergy (21)
- Biology (5)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (7)
- Climate Change (10)
- Composites (3)
- Computer Science (74)
- Coronavirus (23)
- Cybersecurity (9)
- Decarbonization (1)
- Energy Storage (29)
- Environment (48)
- Exascale Computing (5)
- Frontier (3)
- Fusion (18)
- Grid (12)
- High-Performance Computing (3)
- Machine Learning (13)
- Materials (2)
- Materials Science (57)
- Mathematics (2)
- Molten Salt (3)
- Nanotechnology (23)
- National Security (2)
- Neutron Science (48)
- Nuclear Energy (48)
- Physics (19)
- Polymers (9)
- Quantum Science (24)
- Security (5)
- Summit (26)
- Sustainable Energy (32)
- Transformational Challenge Reactor (5)
- Transportation (27)
Media Contacts
![(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.
![To develop complex materials with superior properties, Vera Bocharova uses diverse methods including broadband dielectric spectroscopy. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Jason Richards](/sites/default/files/styles/list_page_thumbnail/public/2019-02/2016-p05202.jpg?h=b6236d98&itok=w-Sd8giq)
Vera Bocharova at the Department of Energy’s Oak Ridge National Laboratory investigates the structure and dynamics of soft materials—polymer nanocomposites, polymer electrolytes and biological macromolecules—to advance materials and technologies for energy, medicine and other applications.
![ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La](/sites/default/files/styles/list_page_thumbnail/public/study_area_one_dest_2.jpg?itok=2cWFkQvW)
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
![Coexpression_hi-res_image[1].jpg Coexpression_hi-res_image[1].jpg](/sites/default/files/styles/list_page_thumbnail/public/Coexpression_hi-res_image%5B1%5D_0.jpg?itok=OnLe-krT)
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.
![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.
![Nuclear—Deep space travel Nuclear—Deep space travel](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202018-12-19%20at%2010.29.32%20AM.png?itok=hq0dlVIf)
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
![Picture2.png Picture2.png](/sites/default/files/styles/list_page_thumbnail/public/Picture2_1.png?itok=IV4n9XEh)
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.