Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (23)
- Clean Energy (56)
- Computer Science (3)
- Fusion and Fission (11)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (75)
- Materials for Computing (10)
- National Security (13)
- Neutron Science (45)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (35)
News Type
News Topics
- (-) Bioenergy (23)
- (-) Climate Change (22)
- (-) Cybersecurity (17)
- (-) Energy Storage (43)
- (-) Fusion (17)
- (-) Isotopes (18)
- (-) Microscopy (16)
- (-) Neutron Science (51)
- (-) Partnerships (29)
- (-) Physics (24)
- (-) Polymers (12)
- (-) Quantum Science (27)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Artificial Intelligence (34)
- Big Data (7)
- Biology (22)
- Biomedical (17)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (32)
- Clean Water (2)
- Composites (11)
- Computer Science (61)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Grid (16)
- High-Performance Computing (30)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Molten Salt (3)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Nuclear Energy (27)
- Quantum Computing (10)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
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.
ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award.
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.
To speed the arrival of the next-generation solid-state batteries that will power electric vehicles and other technologies, scientists led by ORNL advanced the development of flexible, durable sheets of electrolytes. They used a polymer to create a strong yet springy thin film that binds electrolytic particles and at least doubles energy storage.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
In an impressive showcase of cutting-edge innovation and scientific prowess, ORNL has been recognized as a beacon of technological excellence, receiving 14 R&D 100 Awards, announced this week by R&D World magazine.
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.