Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (21)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (1)
- Energy Science (13)
- Fusion and Fission (4)
- Isotopes (7)
- Materials (10)
- Materials for Computing (3)
- National Security (13)
- Neutron Science (16)
- Nuclear Science and Technology (2)
- Sensors and Controls (1)
- Supercomputing (47)
News Topics
- (-) Biomedical (72)
- (-) Exascale Computing (63)
- (-) Security (30)
- 3-D Printing/Advanced Manufacturing (141)
- Advanced Reactors (40)
- Artificial Intelligence (123)
- Big Data (77)
- Bioenergy (105)
- Biology (121)
- Biotechnology (33)
- Buildings (73)
- Chemical Sciences (84)
- Clean Water (32)
- Composites (33)
- Computer Science (221)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Fossil Energy (8)
- Frontier (61)
- Fusion (65)
- Grid (73)
- High-Performance Computing (127)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (66)
- Materials (156)
- Materials Science (154)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (55)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (85)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (65)
- Physics (68)
- Polymers (34)
- Quantum Computing (49)
- Quantum Science (85)
- Simulation (63)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
1 - 10 of 158 Results
Scientists at the Department of Energy’s 91°µÍø recently welcomed Vanderbilt University colleagues for a symposium on basic science research, with a focus on potential collaborations in the biomedical and biotechnology spaces.

The Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program has announced the 2026 Call for Proposals, inviting researchers to apply for access to some of the world’s most powerful high-performance computing systems.
Daniel Jacobson, distinguished research scientist in the Biosciences Division at ORNL, has been elected a Fellow of the American Institute for Medical and Biological Engineering, or AIMBE, for his achievements in computational biology.

Researchers from ORNL have developed a new application to increase efficiency in memory systems for high performance computing. Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures.

Researchers at Georgia State University used the Summit supercomputer to study an elaborate molecular pathway called nucleotide excision repair. Decoding NER’s sophisticated sequence of events and the role of PInC in the pathway could provide key insights into developing novel treatments and preventing conditions that lead to premature aging and certain types of cancer.

Using the Frontier supercomputer at ORNL, researchers have developed a new technique that predicts nuclear properties in record detail. The study revealed how the structure of a nucleus relates to the force that holds it together. This understanding could advance efforts in quantum physics and across a variety of sectors, from to energy production to national security.

A workshop led by scientists at ORNL sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories.

Ryan Culler is the program manager at 91°µÍø, where he oversees the production of actinium-225, a promising treatment for cancer. Driven by a personal connection to cancer through his late brother, Culler is dedicated to advancing medical isotopes to help improve cancer care.
During Hurricanes Helene and Milton, ORNL deployed drone teams and the Mapster platform to gather and share geospatial data, aiding recovery and damage assessments. ORNL's EAGLE-I platform tracked utility outages, helping prioritize recovery efforts. Drone data will train machine learning models for faster damage detection in future disasters.

Scientists conducted a groundbreaking study on the genetic data of over half a million U.S. veterans, using tools from the 91°µÍø to analyze 2,068 traits from the Million Veteran Program.