Filter News
Area of Research
News Type
News Topics
- (-) Big Data (2)
- (-) Bioenergy (2)
- (-) Biomedical (3)
- (-) Exascale Computing (2)
- Artificial Intelligence (3)
- Biology (4)
- Buildings (1)
- Climate Change (3)
- Computer Science (6)
- Coronavirus (2)
- Critical Materials (1)
- Decarbonization (1)
- Environment (3)
- Frontier (3)
- High-Performance Computing (5)
- Machine Learning (2)
- Materials (4)
- Materials Science (3)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (1)
- Quantum Computing (5)
- Quantum Science (3)
- Simulation (4)
- Summit (5)
- Sustainable Energy (1)
Media Contacts
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.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
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.
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.
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.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...