Filter News
Area of Research
- (-) Computer Science (4)
- (-) Materials (100)
- (-) Neutron Science (25)
- Advanced Manufacturing (9)
- Biology and Environment (45)
- Building Technologies (2)
- Clean Energy (91)
- Computational Biology (1)
- Computational Engineering (2)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fusion and Fission (8)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (18)
- Materials Characterization (1)
- Materials for Computing (14)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (18)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (33)
- Transportation Systems (1)
News Type
News Topics
- (-) Biomedical (11)
- (-) Clean Water (1)
- (-) Critical Materials (13)
- (-) Cybersecurity (5)
- (-) Isotopes (7)
- (-) Materials Science (65)
- (-) Nanotechnology (35)
- (-) Sustainable Energy (13)
- 3-D Printing/Advanced Manufacturing (21)
- Advanced Reactors (2)
- Artificial Intelligence (10)
- Big Data (4)
- Bioenergy (12)
- Biology (8)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (27)
- Climate Change (5)
- Composites (7)
- Computer Science (23)
- Coronavirus (8)
- Decarbonization (6)
- Energy Storage (31)
- Environment (13)
- Exascale Computing (1)
- Frontier (3)
- Fusion (6)
- Grid (4)
- High-Performance Computing (4)
- ITER (1)
- Machine Learning (5)
- Materials (57)
- Microscopy (21)
- Molten Salt (3)
- National Security (3)
- Net Zero (1)
- Neutron Science (72)
- Nuclear Energy (9)
- Partnerships (8)
- Physics (24)
- Polymers (14)
- Quantum Computing (3)
- Quantum Science (15)
- Renewable Energy (1)
- Security (2)
- Space Exploration (3)
- Summit (4)
- Transformational Challenge Reactor (1)
- Transportation (14)
Media Contacts
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
Caldera Holding, the owner and developer of Missouri’s Pea Ridge iron mine, has entered a nonexclusive research and development licensing agreement with ORNL to apply a membrane solvent extraction technique, or MSX, developed by ORNL researchers to mined ores.
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Growing up in China, Yue Yuan stood beneath the world’s largest hydroelectric dam, built to harness the world’s third-longest river. Her father brought her to Three Gorges Dam every year as it was being constructed across the Yangtze River so she could witness its progress.
ORNL scientists combined two ligands, or metal-binding molecules, to target light and heavy lanthanides simultaneously for exceptionally efficient separation.