Filter News
Area of Research
- (-) National Security (19)
- (-) Neutron Science (17)
- (-) Supercomputing (57)
- Advanced Manufacturing (3)
- Biology and Environment (51)
- Biology and Soft Matter (1)
- Clean Energy (71)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (4)
- Isotopes (5)
- Materials (36)
- Materials for Computing (7)
- Nuclear Science and Technology (22)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
News Topics
- (-) Biomedical (15)
- (-) Computer Science (45)
- (-) Environment (10)
- (-) Grid (8)
- (-) Machine Learning (12)
- (-) Nuclear Energy (3)
- (-) Quantum Science (15)
- (-) Sustainable Energy (7)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (17)
- Big Data (12)
- Bioenergy (7)
- Biology (9)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (8)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (7)
- Exascale Computing (8)
- Frontier (9)
- Fusion (1)
- High-Performance Computing (11)
- Isotopes (1)
- Materials (13)
- Materials Science (18)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (15)
- Neutron Science (37)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (7)
- Security (7)
- Simulation (5)
- Space Exploration (1)
- Summit (20)
- Transportation (2)
Media Contacts
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.