Filter News
Area of Research
- (-) Supercomputing (43)
- Advanced Manufacturing (3)
- Biology and Environment (33)
- Building Technologies (3)
- Clean Energy (69)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (12)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (62)
- Materials for Computing (7)
- Mathematics (1)
- National Security (9)
- Neutron Science (28)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Biomedical (9)
- (-) Buildings (1)
- (-) Climate Change (5)
- (-) Grid (3)
- (-) Nanotechnology (6)
- (-) Nuclear Energy (2)
- (-) Physics (4)
- (-) Space Exploration (2)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (13)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biotechnology (1)
- Chemical Sciences (4)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- High-Performance Computing (14)
- Isotopes (1)
- Machine Learning (6)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Molten Salt (1)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (9)
- Quantum Science (13)
- Security (4)
- Simulation (2)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
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.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.