Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (18)
- Clean Energy (43)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (4)
- Materials (33)
- Materials for Computing (6)
- National Security (3)
- Neutron Science (4)
- Nuclear Science and Technology (3)
- Supercomputing (23)
News Type
News Topics
- (-) Frontier (20)
- (-) Fusion (25)
- (-) Microscopy (27)
- (-) Polymers (18)
- (-) Sustainable Energy (51)
- 3-D Printing/Advanced Manufacturing (65)
- Advanced Reactors (15)
- Artificial Intelligence (43)
- Big Data (20)
- Bioenergy (41)
- Biology (45)
- Biomedical (29)
- Biotechnology (12)
- Buildings (31)
- Chemical Sciences (46)
- Clean Water (9)
- Climate Change (42)
- Composites (15)
- Computer Science (79)
- Coronavirus (23)
- Critical Materials (13)
- Cybersecurity (24)
- Decarbonization (40)
- Education (3)
- Element Discovery (1)
- Energy Storage (61)
- Environment (83)
- Exascale Computing (16)
- Fossil Energy (1)
- Grid (26)
- High-Performance Computing (44)
- Hydropower (2)
- Irradiation (1)
- Isotopes (34)
- ITER (3)
- Machine Learning (21)
- Materials (78)
- Materials Science (70)
- Mathematics (5)
- Mercury (6)
- Microelectronics (1)
- Molten Salt (3)
- Nanotechnology (34)
- National Security (38)
- Net Zero (6)
- Neutron Science (67)
- Nuclear Energy (50)
- Partnerships (31)
- Physics (40)
- Quantum Computing (13)
- Quantum Science (32)
- Renewable Energy (1)
- Security (18)
- Simulation (17)
- Software (1)
- Space Exploration (3)
- Statistics (1)
- Summit (24)
- Transformational Challenge Reactor (4)
- Transportation (45)
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 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.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
The award was given in “recognition of his lifelong leadership in fusion technology for plasma fueling systems in magnetically confined fusion systems.”
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
Researcher Rocio Uria-Martinez was named one of four “Women with Hydro Vision” at this year’s HYDROVISION International 2024 conference taking place in Denver this week. Awarded by a committee of industry peers, the honor recognizes women who use their unique talents and vision to improve and advance the worldwide hydropower industry.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional
Erin Webb, lead for the Bioresources Science and Engineering group at Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Agricultural and Biological Engineers — the society’s highest honor.
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.