
Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (42)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Science (90)
- Functional Materials for Energy (1)
- Fusion and Fission (27)
- Fusion Energy (15)
- Isotopes (1)
- Materials (70)
- Materials for Computing (14)
- National Security (33)
- Neutron Science (36)
- Nuclear Science and Technology (9)
- Quantum information Science (9)
- Sensors and Controls (2)
- Supercomputing (110)
News Topics
- (-) Artificial Intelligence (131)
- (-) Composites (35)
- (-) Coronavirus (48)
- (-) Emergency (4)
- (-) Fusion (66)
- (-) Grid (74)
- (-) Machine Learning (68)
- (-) Nanotechnology (64)
- (-) Quantum Science (93)
- (-) Security (31)
- (-) Summit (71)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Big Data (79)
- Bioenergy (112)
- Biology (128)
- Biomedical (73)
- Biotechnology (39)
- Buildings (74)
- Chemical Sciences (86)
- Clean Water (33)
- Computer Science (226)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Energy Storage (114)
- Environment (218)
- Exascale Computing (67)
- Fossil Energy (8)
- Frontier (64)
- High-Performance Computing (130)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Materials (157)
- Materials Science (158)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- National Security (86)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (68)
- Physics (69)
- Polymers (35)
- Quantum Computing (53)
- Simulation (65)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Transportation (103)
Media Contacts

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.

Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast.
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 Oak Ridge National Laboratory to analyze 2,068 traits from the Million Veteran Program.

The US focuses on nuclear nonproliferation, and ORNL plays a key role in this mission. The lab conducts advanced research in uranium science, materials analysis and nuclear forensics to detect illicit nuclear activities. Using cutting-edge tools and operational systems, ORNL supports global efforts to reduce nuclear threats by uncovering the history of nuclear materials and providing solutions for uranium removal.

Maximiliano Ferrari, a researcher in the Grid Systems Architecture group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to prestigious senior membership in the Institute of Electrical and Electronics Engineers.

The National Center for Computational Sciences, located at the Department of Energy’s Oak Ridge National Laboratory, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.

Since their establishment in 2020, the five DOE National Quantum Information Science Research Centers have been expanding the frontier of what’s possible in quantum computing, communication, sensing and materials in ways that will advance basic science for energy, security, communication and logistics.

Scientists and land managers interested in accessing the first dataset of its kind on one of the most biologically diverse ecosystems in the world were given hands-on tutorials during a recent workshop by researchers supporting the ORNL Distributed Active Archive Center for Biogeochemical Dynamics.

FREDA is a new tool being developed at ORNL that will accelerate the design and testing of next-generation fusion devices. It is the first tool of its kind to combine plasma and engineering modeling capabilities and utilize high performance computing resources.