Filter News
Area of Research
- (-) Biology and Environment (9)
- (-) National Security (13)
- Advanced Manufacturing (2)
- Clean Energy (13)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (7)
- Materials (9)
- Neutron Science (4)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (15)
News Topics
- (-) Advanced Reactors (2)
- (-) Machine Learning (19)
- 3-D Printing/Advanced Manufacturing (13)
- Artificial Intelligence (21)
- Big Data (15)
- Bioenergy (46)
- Biology (74)
- Biomedical (17)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (11)
- Climate Change (43)
- Composites (5)
- Computer Science (36)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (19)
- Decarbonization (20)
- Energy Storage (8)
- Environment (91)
- Exascale Computing (5)
- Frontier (4)
- Fusion (2)
- Grid (9)
- High-Performance Computing (24)
- Hydropower (8)
- Isotopes (2)
- Materials (13)
- Materials Science (9)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (35)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Partnerships (9)
- Physics (3)
- Polymers (2)
- Quantum Science (1)
- Renewable Energy (1)
- Security (12)
- Simulation (14)
- Summit (12)
- Sustainable Energy (32)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
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.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.