Filter News
Area of Research
News Type
News Topics
- (-) Big Data (10)
- (-) Composites (4)
- (-) Energy Storage (16)
- (-) Exascale Computing (14)
- (-) Machine Learning (15)
- (-) Nuclear Energy (19)
- (-) Polymers (3)
- (-) Quantum Science (7)
- (-) Software (1)
- (-) Sustainable Energy (11)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (2)
- Artificial Intelligence (26)
- Bioenergy (14)
- Biology (23)
- Biomedical (6)
- Biotechnology (4)
- Buildings (10)
- Chemical Sciences (19)
- Clean Water (5)
- Climate Change (30)
- Computer Science (20)
- Coronavirus (3)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (26)
- Education (3)
- Emergency (1)
- Environment (37)
- Fossil Energy (2)
- Frontier (18)
- Fusion (9)
- Grid (13)
- High-Performance Computing (31)
- Hydropower (2)
- Isotopes (10)
- Materials (50)
- Materials Science (14)
- Mathematics (2)
- Mercury (1)
- Microelectronics (2)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (21)
- Net Zero (5)
- Neutron Science (27)
- Partnerships (24)
- Physics (14)
- Quantum Computing (9)
- Renewable Energy (2)
- Security (3)
- Simulation (26)
- Space Exploration (4)
- Summit (9)
- Transportation (10)
Media Contacts
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
The common sounds in the background of daily life – like a refrigerator’s hum, an air conditioner’s whoosh and a heat pump’s buzz – often go unnoticed. These noises, however, are the heartbeat of a healthy building and integral for comfort and convenience.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
In June, ORNL hit a milestone not seen in more than three decades: producing a production-quality amount of plutonium-238
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.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
Cadet Elyse Wages, a rising junior at the United States Air Force Academy, visited ORNL with one goal in mind: collect air.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Outside the high-performance computing, or HPC, community, exascale may seem more like fodder for science fiction than a powerful tool for scientific research. Yet, when seen through the lens of real-world applications, exascale computing goes from ethereal concept to tangible reality with exceptional benefits.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.