Filter News
Area of Research
- (-) Nuclear Science and Technology (38)
- (-) Supercomputing (101)
- Advanced Manufacturing (8)
- Biology and Environment (63)
- Building Technologies (2)
- Clean Energy (158)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (1)
- Fusion and Fission (45)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (117)
- Materials for Computing (18)
- National Security (53)
- Neutron Science (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) Fusion (9)
- (-) Grid (5)
- (-) High-Performance Computing (38)
- (-) Machine Learning (14)
- (-) Nanotechnology (11)
- (-) National Security (8)
- (-) Nuclear Energy (39)
- (-) Physics (9)
- (-) Quantum Science (24)
- (-) Space Exploration (8)
- (-) Sustainable Energy (10)
- (-) Transportation (6)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (12)
- Artificial Intelligence (36)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (19)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (96)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (5)
- Energy Storage (8)
- Environment (22)
- Exascale Computing (22)
- Frontier (28)
- Isotopes (6)
- Materials (15)
- Materials Science (19)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (5)
- Net Zero (1)
- Neutron Science (17)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (19)
- Security (5)
- Simulation (14)
- Software (1)
- Summit (42)
- Transformational Challenge Reactor (3)
Media Contacts
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Hosted by the Quantum Computing Institute and the Oak Ridge Leadership Computing Facility, the fourth annual event brought together over 100 attendees to discuss the latest developments in quantum computing and to learn about results from projects supported by the OLCF’s Quantum Computing User Program.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
For the third year in a row, the Quantum Science Center held its signature workforce development event: a comprehensive summer school for students and early-career scientists designed to facilitate conversations and hands-on activities related to
ORNL’s Debangshu Mukherjee has been named an npj Computational Materials “Reviewer of the Year.”
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.