Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Clean Energy (36)
- Computational Engineering (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (21)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (33)
- Materials for Computing (3)
- National Security (17)
- Neutron Science (48)
- Nuclear Science and Technology (11)
- Sensors and Controls (1)
- Supercomputing (29)
News Type
News Topics
- (-) Fossil Energy (1)
- (-) Fusion (21)
- (-) Grid (22)
- (-) High-Performance Computing (35)
- (-) Machine Learning (18)
- (-) Neutron Science (57)
- (-) Nuclear Energy (39)
- (-) Security (17)
- 3-D Printing/Advanced Manufacturing (56)
- Advanced Reactors (12)
- Artificial Intelligence (33)
- Big Data (14)
- Bioenergy (41)
- Biology (43)
- Biomedical (25)
- Biotechnology (11)
- Buildings (22)
- Chemical Sciences (38)
- Clean Water (7)
- Climate Change (37)
- Composites (11)
- Computer Science (70)
- Coronavirus (23)
- Critical Materials (12)
- Cybersecurity (23)
- Decarbonization (33)
- Education (3)
- Element Discovery (1)
- Energy Storage (55)
- Environment (73)
- Exascale Computing (12)
- Frontier (17)
- Hydropower (2)
- Isotopes (26)
- ITER (3)
- Materials (66)
- Materials Science (62)
- Mathematics (4)
- Mercury (6)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (32)
- National Security (33)
- Net Zero (5)
- Partnerships (26)
- Physics (40)
- Polymers (17)
- Quantum Computing (10)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (12)
- Space Exploration (3)
- Statistics (2)
- Summit (22)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (36)
Media Contacts
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Researchers at ORNL are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
Jens Dilling has been named associate laboratory director for the Neutron Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory, effective April 1.
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.