Filter News
Area of Research
News Topics
- (-) Bioenergy (13)
- (-) Biomedical (10)
- (-) Composites (10)
- (-) Energy Storage (12)
- (-) Frontier (8)
- (-) Fusion (10)
- (-) Mercury (1)
- (-) Quantum Science (15)
- 3-D Printing/Advanced Manufacturing (21)
- Advanced Reactors (4)
- Artificial Intelligence (27)
- Big Data (14)
- Biology (14)
- Biotechnology (6)
- Buildings (15)
- Chemical Sciences (16)
- Clean Water (5)
- Climate Change (22)
- Computer Science (39)
- Critical Materials (7)
- Cybersecurity (3)
- Decarbonization (22)
- Education (1)
- Emergency (1)
- Environment (24)
- Exascale Computing (7)
- Fossil Energy (3)
- Grid (12)
- High-Performance Computing (17)
- Isotopes (17)
- ITER (1)
- Machine Learning (9)
- Materials (14)
- Materials Science (27)
- Mathematics (4)
- Microelectronics (1)
- Microscopy (7)
- Molten Salt (4)
- Nanotechnology (11)
- National Security (19)
- Net Zero (6)
- Neutron Science (18)
- Nuclear Energy (20)
- Partnerships (16)
- Physics (15)
- Polymers (10)
- Quantum Computing (11)
- Security (9)
- Simulation (14)
- Space Exploration (5)
- Statistics (2)
- Summit (8)
- Sustainable Energy (20)
- Transportation (19)
Media Contacts
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
Oak Ridge National Laboratory has named Troy A. Carter director of the Fusion Energy Division in ORNL’s Fusion and Fission Energy and Science Directorate, or FFESD.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
ORNL's Guang Yang and Andrew Westover have been selected to join the first cohort of DOE’s Advanced Research Projects Agency-Energy Inspiring Generations of New Innovators to Impact Technologies in Energy 2024 program. The program supports early career scientists and engineers in their work to convert disruptive ideas into impactful energy technologies.
A new study conducted on the Frontier supercomputer gave researchers new clues to improving fusion confinement. This research, in collaboration with General Atomics and UC San Diego, uncovered that the interaction between ions and electrons near the tokamak's edge can unexpectedly increase turbulence, challenging previous assumptions about how to optimize plasma confinement for efficient nuclear fusion.