Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (21)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Science (32)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (78)
- Materials Characterization (1)
- Materials for Computing (16)
- Materials Under Extremes (1)
- National Security (4)
- Neutron Science (25)
- Nuclear Science and Technology (7)
- Supercomputing (33)
- Transportation Systems (1)
News Topics
- (-) Materials Science (158)
- (-) Simulation (65)
- (-) Space Exploration (26)
- 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 (157)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (64)
- National Security (86)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (67)
- Physics (69)
- Polymers (35)
- Quantum Computing (53)
- Quantum Science (92)
- Security (31)
- Software (1)
- Statistics (4)
- Summit (71)
- 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 237 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.

Researchers at ORNL have developed an innovative new technique using carbon nanofibers to enhance binding in carbon fiber and other fiber-reinforced polymer composites – an advance likely to improve structural materials for automobiles, airplanes and other applications that require lightweight and strong materials.

As the focus on energy resiliency and competitiveness increases, the development of advanced materials for next-generation, commercial fusion reactors is gaining attention. A recent paper examines a promising candidate for these reactors: ultra-high-temperature ceramics, or UHTCs.

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.
Fehmi Yasin, inspired by a high school teacher, now researches quantum materials at Oak Ridge National Laboratory, aiming to transform information technology with advanced imaging techniques.

ORNL researchers helped introduce college students to quantum computing for the first time during the 2025 Winter Classic Invitational, providing hands-on access to real quantum hardware and training future high-performance computing users through a unique challenge that bridged classical and quantum 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.

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.

Hugh O’Neill’s lifelong fascination with the complexities of the natural world drives his research at ORNL, where he’s using powerful neutron beams to dive deep into the microscopic realm of biological materials and unlock secrets for better production of domestic biofuels and bioproducts.

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.