
Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (25)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Energy Science (39)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (17)
- Materials (68)
- Materials Characterization (1)
- Materials for Computing (8)
- Materials Under Extremes (1)
- National Security (23)
- Neutron Science (52)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (45)
News Type
News Topics
- (-) Artificial Intelligence (55)
- (-) Biomedical (34)
- (-) Composites (17)
- (-) Cybersecurity (24)
- (-) Frontier (27)
- (-) Isotopes (37)
- (-) Machine Learning (27)
- (-) Materials Science (75)
- (-) Neutron Science (71)
- 3-D Printing/Advanced Manufacturing (72)
- Advanced Reactors (16)
- Big Data (29)
- Bioenergy (52)
- Biology (57)
- Biotechnology (19)
- Buildings (32)
- Chemical Sciences (52)
- Clean Water (9)
- Computer Science (93)
- Coronavirus (23)
- Critical Materials (13)
- Education (3)
- Element Discovery (1)
- Emergency (1)
- Energy Storage (61)
- Environment (91)
- Exascale Computing (26)
- Fossil Energy (1)
- Fusion (28)
- Grid (28)
- High-Performance Computing (57)
- Hydropower (2)
- Irradiation (1)
- ITER (4)
- Materials (80)
- Mathematics (5)
- Mercury (6)
- Microelectronics (1)
- Microscopy (31)
- Molten Salt (3)
- Nanotechnology (38)
- National Security (40)
- Nuclear Energy (52)
- Partnerships (36)
- Physics (43)
- Polymers (19)
- Quantum Computing (17)
- Quantum Science (40)
- Security (19)
- Simulation (23)
- Software (1)
- Space Exploration (3)
- Statistics (1)
- Summit (26)
- Transportation (49)
Media Contacts
To help reduce the likelihood of losing future cultivated crops to drought and other seasonal hardships, researchers from ORNL, Budapest and Hungary are using neutrons, light microscopy and transmission electron microscopy to study the 'Never Never' plant, known for its ability to endure periods of little to no rain.

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.
Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”

A team of scientists led by a professor from Duke University discovered a way to help make batteries safer, charge faster and last longer. They relied on neutrons at ORNL to understand at the atomic scale how lithium moves in lithium phosphorus sulfur chloride, a promising new type of solid-state battery material known as a superionic compound.

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.

Ryan Culler is the program manager at Oak Ridge National Laboratory, 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.

Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment.

Joel Brogan, who leads the Multimodal Sensor Analytics group at Oak Ridge National Laboratory, has been elevated to senior membership in the Institute of Electrical and Electronics Engineers.

ORNL has been recognized in the 21st edition of the HPCwire Readers’ and Editors’ Choice Awards, presented at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis in Atlanta, Georgia.