Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (7)
- Clean Energy (52)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (28)
- Materials for Computing (6)
- National Security (3)
- Neutron Science (6)
- Nuclear Science and Technology (2)
- Supercomputing (6)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (20)
- (-) Composites (12)
- (-) Microscopy (20)
- (-) Nanotechnology (18)
- (-) Polymers (14)
- (-) Security (7)
- (-) Space Exploration (10)
- (-) Transportation (48)
- 3-D Printing/Advanced Manufacturing (44)
- Advanced Reactors (15)
- Big Data (25)
- Bioenergy (33)
- Biology (40)
- Biomedical (22)
- Biotechnology (7)
- Buildings (30)
- Chemical Sciences (20)
- Clean Water (20)
- Climate Change (40)
- Computer Science (53)
- Coronavirus (17)
- Critical Materials (14)
- Cybersecurity (9)
- Decarbonization (27)
- Energy Storage (45)
- Environment (83)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Fusion (16)
- Grid (28)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (17)
- ITER (4)
- Machine Learning (19)
- Materials (43)
- Materials Science (47)
- Mathematics (7)
- Mercury (7)
- Molten Salt (5)
- National Security (19)
- Net Zero (4)
- Neutron Science (36)
- Nuclear Energy (34)
- Partnerships (2)
- Physics (20)
- Quantum Computing (5)
- Quantum Science (12)
- Simulation (12)
- Statistics (1)
- Summit (8)
- Sustainable Energy (59)
Media Contacts
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
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.
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
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.
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.
A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.