Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (9)
- (-) Climate Change (14)
- (-) Energy Storage (14)
- (-) Neutron Science (18)
- (-) Quantum Science (15)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (20)
- Artificial Intelligence (27)
- Big Data (13)
- Bioenergy (12)
- Biology (10)
- Biomedical (6)
- Biotechnology (5)
- Buildings (10)
- Chemical Sciences (7)
- Clean Water (7)
- Composites (5)
- Computer Science (42)
- Critical Materials (1)
- Cybersecurity (2)
- Decarbonization (14)
- Education (1)
- Emergency (1)
- Environment (30)
- Exascale Computing (7)
- Fossil Energy (2)
- Frontier (6)
- Fusion (8)
- Grid (8)
- High-Performance Computing (10)
- Isotopes (7)
- ITER (1)
- Machine Learning (11)
- Materials (9)
- Materials Science (25)
- Mathematics (2)
- Mercury (1)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (9)
- Net Zero (3)
- Nuclear Energy (22)
- Partnerships (7)
- Physics (6)
- Polymers (5)
- Quantum Computing (6)
- Simulation (10)
- Space Exploration (7)
- Summit (10)
- Sustainable Energy (15)
- Transportation (16)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
When the Department of Energy’s Oak Ridge National Laboratory science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
Purdue University hosted more than 100 attendees at the fourth annual Quantum Science Center summer school. Students and early-career members of the QSC —headquartered at ORNL — participated in lectures, hands-on workshops, poster sessions and panel discussions alongside colleagues from other DOE National Quantum Information Science Research Centers.
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.
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
A team of researchers including a member of the Quantum Science Center at ORNL has published a review paper on the state of the field of Majorana research. The paper primarily describes four major platforms that are capable of hosting these particles, as well as the progress made over the past decade in this area.
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.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.