Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (32)
- Computer Science (3)
- Energy Frontier Research Centers (1)
- Fusion and Fission (10)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (33)
- Materials for Computing (4)
- National Security (9)
- Neutron Science (13)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (26)
News Type
News Topics
- (-) Artificial Intelligence (34)
- (-) Fusion (17)
- (-) Grid (16)
- (-) Nanotechnology (26)
- (-) Quantum Science (28)
- (-) Space Exploration (3)
- (-) Transportation (25)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biomedical (17)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (32)
- Clean Water (2)
- Climate Change (22)
- Composites (11)
- Computer Science (61)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- High-Performance Computing (30)
- Isotopes (18)
- ITER (2)
- Machine Learning (13)
- Materials (60)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- National Security (18)
- Net Zero (3)
- Neutron Science (51)
- Nuclear Energy (27)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (11)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
Media Contacts
A new technology to continuously place individual atoms exactly where they are needed could lead to new materials for devices that address critical needs for the field of quantum computing and communication that cannot be produced by conventional means.
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
A new technical collaboration program at the Department of Energy’s Oak Ridge National Laboratory will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOE’s Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.