Filter News
Area of Research
- (-) Supercomputing (93)
- Advanced Manufacturing (4)
- Biology and Environment (50)
- Building Technologies (2)
- Clean Energy (61)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Energy Sciences (1)
- Fusion and Fission (17)
- Fusion Energy (11)
- Materials (39)
- Materials for Computing (10)
- Mathematics (1)
- National Security (14)
- Neutron Science (11)
- Nuclear Science and Technology (8)
- Quantum information Science (6)
News Type
News Topics
- (-) Artificial Intelligence (22)
- (-) Computer Science (61)
- (-) Exascale Computing (13)
- (-) Frontier (14)
- (-) Fusion (1)
- (-) Microscopy (2)
- (-) Polymers (2)
- (-) Quantum Computing (14)
- (-) Sustainable Energy (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Grid (1)
- High-Performance Computing (23)
- Machine Learning (8)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (3)
- Quantum Science (13)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Transportation (4)
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.
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.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Lawrence Berkeley National Laboratory physicists Christian Bauer, Marat Freytsis and Benjamin Nachman have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility’s Quantum Computing User Program to capture part of a
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.