Filter News
Area of Research
News Topics
- (-) Computer Science (5)
- (-) Coronavirus (2)
- (-) Machine Learning (2)
- (-) Quantum Science (3)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (2)
- Biology (4)
- Biomedical (3)
- Buildings (1)
- Climate Change (3)
- Critical Materials (1)
- Decarbonization (1)
- Environment (2)
- Exascale Computing (2)
- Frontier (3)
- High-Performance Computing (5)
- Materials (4)
- Materials Science (3)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (1)
- Quantum Computing (5)
- Simulation (4)
- Summit (5)
- Sustainable Energy (1)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.
Travis Humble has been named director of the Quantum Science Center headquartered at ORNL. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.