Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (15)
- (-) Bioenergy (18)
- (-) Climate Change (18)
- (-) Exascale Computing (12)
- (-) Fusion (8)
- (-) Microscopy (4)
- (-) Quantum Science (5)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (11)
- Big Data (8)
- Biology (23)
- Biomedical (3)
- Biotechnology (3)
- Buildings (10)
- Chemical Sciences (14)
- Clean Water (5)
- Composites (4)
- Computer Science (19)
- Coronavirus (2)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (21)
- Emergency (1)
- Energy Storage (13)
- Environment (35)
- Fossil Energy (2)
- Frontier (13)
- Grid (13)
- High-Performance Computing (18)
- Hydropower (3)
- Irradiation (1)
- Isotopes (7)
- Machine Learning (10)
- Materials (26)
- Materials Science (10)
- Mathematics (2)
- Mercury (2)
- Microelectronics (2)
- Nanotechnology (5)
- National Security (15)
- Net Zero (3)
- Neutron Science (24)
- Nuclear Energy (14)
- Partnerships (6)
- Physics (11)
- Polymers (3)
- Quantum Computing (9)
- Renewable Energy (1)
- Simulation (21)
- Software (1)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (15)
- Transportation (13)
Media Contacts
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
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.
On Nov. 1, about 250 employees at Oak Ridge National Laboratory gathered in person and online for Quantum on the Quad, an event designed to collect input for a quantum roadmap currently in development. This document will guide the laboratory's efforts in quantum science and technology, including strategies for expanding its expertise to all facets of the field.
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
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.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.