Filter News
Area of Research
- (-) Supercomputing (59)
- Advanced Manufacturing (5)
- Biological Systems (3)
- Biology and Environment (52)
- Biology and Soft Matter (2)
- Building Technologies (4)
- Chemical and Engineering Materials (2)
- Chemistry and Physics at Interfaces (6)
- Clean Energy (90)
- Computational Biology (1)
- Computational Chemistry (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (7)
- Functional Materials for Energy (8)
- Fusion and Fission (15)
- Fusion Energy (1)
- Geographic Information Science and Technology (2)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (82)
- Materials for Computing (6)
- Materials Synthesis from Atoms to Systems (5)
- Materials Under Extremes (6)
- National Security (25)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (24)
- Nuclear Science and Technology (6)
- Quantum Condensed Matter (2)
- Reactor Technology (1)
- Renewable Energy (1)
- Transportation Systems (2)
News Topics
- Artificial Intelligence (7)
- Big Data (3)
- Bioenergy (2)
- Biology (5)
- Biomedical (4)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (6)
- Frontier (7)
- Grid (2)
- High-Performance Computing (8)
- Machine Learning (5)
- Materials (8)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (3)
- Neutron Science (1)
- Partnerships (1)
- Physics (1)
- Quantum Computing (7)
- Quantum Science (4)
- Security (2)
- Simulation (5)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (2)
Media Contacts
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Bruce Lester has had a lot of jobs: fisherman, horse trainer, “professional stair builder.” He last worked for a real estate company, surveying land using geographic software. “When the bottom fell out of the construction industry and the company downsized, I got laid off,”