Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (24)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Science (43)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (5)
- Materials (77)
- Materials Characterization (2)
- Materials for Computing (12)
- Materials Under Extremes (1)
- National Security (36)
- Neutron Science (21)
- Supercomputing (64)
News Topics
- (-) Materials (157)
- (-) National Security (86)
- (-) Summit (71)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Artificial Intelligence (130)
- Big Data (79)
- Bioenergy (112)
- Biology (128)
- Biomedical (73)
- Biotechnology (39)
- Buildings (74)
- Chemical Sciences (86)
- Clean Water (33)
- Composites (35)
- Computer Science (226)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (218)
- Exascale Computing (67)
- Fossil Energy (8)
- Frontier (64)
- Fusion (66)
- Grid (74)
- High-Performance Computing (130)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (68)
- Materials Science (158)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (64)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (67)
- Physics (69)
- Polymers (35)
- Quantum Computing (53)
- Quantum Science (92)
- Security (31)
- Simulation (65)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- 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 307 Results

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

Stronger than steel and lighter than aluminum, carbon fiber is a staple in aerospace and high-performance vehicles — and now, scientists at ORNL have found a way to make it even stronger.

The University of Oklahoma and Oak Ridge National Laboratory, the Department of Energy’s largest multi-program science and energy laboratory, have entered a strategic collaboration to establish a cutting-edge additive manufacturing center.

In collaboration with the U.S. Department of Homeland Security’s Science and Technology Directorate, researchers at ORNL are evaluating technology to detect compounds emitted by pathogens and pests in agricultural products at the nation’s border.
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.

During his first visit to Oak Ridge National Laboratory, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s global race to lead in artificial intelligence, calling for a “Manhattan Project 2.â€

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.

Scientists designing the world’s first controlled nuclear fusion power plant, ITER, needed to solve the problem of runaway electrons, negatively charged particles in the soup of matter in the plasma within the tokamak, the magnetic bottle intended to contain the massive energy produced. Simulations performed on Summit, the 200-petaflop supercomputer at ORNL, could offer the first step toward a solution.