Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (26)
- (-) Fusion (9)
- 3-D Printing/Advanced Manufacturing (20)
- Advanced Reactors (3)
- Big Data (10)
- Bioenergy (22)
- Biology (29)
- Biomedical (7)
- Biotechnology (6)
- Buildings (14)
- Chemical Sciences (24)
- Clean Water (5)
- Climate Change (31)
- Composites (6)
- Computer Science (23)
- Coronavirus (4)
- Critical Materials (6)
- Cybersecurity (9)
- Decarbonization (30)
- Education (3)
- Emergency (1)
- Energy Storage (21)
- Environment (43)
- Exascale Computing (15)
- Fossil Energy (2)
- Frontier (19)
- Grid (16)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Isotopes (11)
- Machine Learning (15)
- Materials (59)
- Materials Science (16)
- Mathematics (2)
- Mercury (2)
- Microelectronics (2)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (21)
- Net Zero (5)
- Neutron Science (32)
- Nuclear Energy (21)
- Partnerships (24)
- Physics (14)
- Polymers (4)
- Quantum Computing (12)
- Quantum Science (9)
- Renewable Energy (2)
- Security (3)
- Simulation (29)
- Software (1)
- Space Exploration (4)
- Summit (9)
- Sustainable Energy (17)
- Transportation (18)
Media Contacts
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
A team of researchers from the University of Southern California, the Renaissance Computing Institute at the University of North Carolina, and Oak Ridge, Lawrence Berkeley and Argonne National Laboratories have received a grant from the U.S. Department of Energy to develop the fundamentals of a computational platform that is fault tolerant, robust to various environmental conditions and adaptive to workloads and resource availability.
Despite its futuristic essence, artificial intelligence has a history that can be traced through several decades, and the ORNL has played a major role. From helping to drive fundamental and applied AI research from the field’s early days focused on expert systems, computer programs that rely on AI, to more recent developments in deep learning, a form of AI that enables machines to make evidence-based decisions, the lab’s AI research spans the spectrum.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
ORNL is leading three research collaborations with fusion industry partners through the Innovation Network for FUSion Energy, or INFUSE, program that will focus on resolving technical challenges and developing innovative solutions to make practical fusion energy a reality.
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.