
Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (18)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Energy Science (19)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (27)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (57)
- Materials for Computing (8)
- National Security (8)
- Neutron Science (19)
- Nuclear Science and Technology (36)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (57)
News Topics
- (-) Nanotechnology (63)
- (-) Nuclear Energy (122)
- (-) Summit (70)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Artificial Intelligence (129)
- Big Data (78)
- Bioenergy (111)
- Biology (128)
- Biomedical (73)
- Biotechnology (38)
- Buildings (74)
- Chemical Sciences (84)
- Clean Water (33)
- Composites (34)
- Computer Science (224)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (218)
- Exascale Computing (65)
- Fossil Energy (8)
- Frontier (63)
- Fusion (66)
- Grid (74)
- High-Performance Computing (129)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (67)
- Materials (156)
- Materials Science (157)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- National Security (86)
- Neutron Science (171)
- Partnerships (67)
- Physics (69)
- Polymers (35)
- Quantum Computing (53)
- Quantum Science (92)
- Security (31)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Transportation (102)
Media Contacts

Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.

As demand for energy-intensive computing grows, researchers at ORNL have developed a new technique that lets scientists see how interfaces move in promising materials for computing and other applications. The method, now available to users at the Center for Nanophase Materials Sciences at ORNL, could help design dramatically more energy-efficient technologies.

A team from ORNL, joined by university students, recently traveled to the Ohio State University Research Reactor to conduct a novel experiment on nuclear thermal rocket fuel coatings — one that could help propel NASA’s astronauts to Mars faster and more efficiently.

Jairus Hines, an electronics and unmanned systems technician at ORNL, works with airborne, waterborne and ground-based drones. As part of the lab’s Autonomous Systems group, he applies "low and slow" drone technology to radiation detection for national security missions.
During a recent visit to ORNL, several OASA (IE&E) representatives explored the ORNL’s leadership in advanced nuclear energy development to inform the design and construction of a microreactor to power mission-critical facilities at two Army bases.
Training nuclear safety experts to measure the unseen: ORNL’s course enhances nuclear accountability
Professionals from government and industry gathered at ORNL for the Nondestructive Assay Holdup Measurements Training Course for Nuclear Criticality Safety, a hands-on training in nondestructive assay, a technique for detecting and quantifying holdup without disturbing operations.

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.

Working at nanoscale dimensions, billionths of a meter in size, a team of scientists led by ORNL revealed a new way to measure high-speed fluctuations in magnetic materials. Knowledge obtained by these new measurements could be used to advance technologies ranging from traditional computing to the emerging field of quantum computing.

Neus Domingo Marimon, leader of the Functional Atomic Force Microscopy group at the Center for Nanophase Materials Sciences of ORNL, has been elevated to senior member of the Institute of Electrical and Electronics Engineers.

P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.