Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (8)
- Clean Energy (43)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion Energy (2)
- Isotopes (1)
- Materials (31)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (4)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (3)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (17)
- (-) Composites (11)
- (-) Grid (27)
- (-) Machine Learning (15)
- (-) Materials Science (45)
- (-) National Security (18)
- (-) Polymers (13)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (15)
- Big Data (21)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (27)
- Chemical Sciences (16)
- Clean Water (19)
- Climate Change (36)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (14)
- ITER (4)
- Materials (42)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Quantum Computing (5)
- Quantum Science (12)
- Security (7)
- Simulation (10)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
- Transportation (47)
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.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
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.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
ORNL’s Assaf Anyamba has spent his career using satellite images to determine where extreme weather may lead to vector-borne disease outbreaks. His work has helped the U.S. government better prepare for outbreaks that happen during periods of extended weather events such as El Niño and La Niña, climate patterns in the Pacific Ocean that can affect weather worldwide.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.