Filter News
Area of Research
- (-) Fusion and Fission (54)
- (-) Materials (433)
- (-) Supercomputing (311)
- (-) Transportation Systems (11)
- Advanced Manufacturing (34)
- Biological Systems (18)
- Biology and Environment (177)
- Biology and Soft Matter (5)
- Building Technologies (12)
- Chemical and Engineering Materials (4)
- Chemistry and Physics at Interfaces (11)
- Clean Energy (522)
- Climate and Environmental Systems (14)
- Computational Biology (6)
- Computational Chemistry (5)
- Computational Engineering (5)
- Computer Science (19)
- Data (1)
- Earth Sciences (1)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (14)
- Energy Sciences (5)
- Fossil Energy (3)
- Fuel Cycle Science and Technology (3)
- Functional Materials for Energy (16)
- Fusion Energy (17)
- Geographic Information Science and Technology (3)
- Isotope Development and Production (3)
- Isotopes (35)
- Materials Characterization (2)
- Materials for Computing (36)
- Materials Synthesis from Atoms to Systems (13)
- Materials Under Extremes (12)
- Mathematics (1)
- National Security (79)
- Neutron Data Analysis and Visualization (4)
- Neutron Science (190)
- Nuclear Science and Technology (74)
- Nuclear Systems Modeling, Simulation and Validation (3)
- Nuclear Systems Technology (1)
- Quantum Condensed Matter (4)
- Quantum information Science (9)
- Reactor Technology (1)
- Renewable Energy (4)
- Sensors and Controls (5)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (28)
- Advanced Reactors (11)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (15)
- Biomedical (23)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (34)
- Clean Water (3)
- Climate Change (21)
- Composites (9)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (15)
- Cybersecurity (8)
- Decarbonization (14)
- Energy Storage (37)
- Environment (35)
- Exascale Computing (23)
- Fossil Energy (1)
- Frontier (29)
- Fusion (28)
- Grid (10)
- High-Performance Computing (41)
- Irradiation (1)
- Isotopes (14)
- ITER (6)
- Machine Learning (14)
- Materials (80)
- Materials Science (84)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (8)
- Net Zero (3)
- Neutron Science (43)
- Nuclear Energy (46)
- Partnerships (13)
- Physics (35)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (17)
- Software (1)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (22)
- Transformational Challenge Reactor (3)
- Transportation (22)
Media Contacts
A team of scientists with ORNL has investigated the behavior of hafnium oxide, or hafnia, because of its potential for use in novel semiconductor applications.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
Cadet Elyse Wages, a rising junior at the United States Air Force Academy, visited ORNL with one goal in mind: collect air.
Outside the high-performance computing, or HPC, community, exascale may seem more like fodder for science fiction than a powerful tool for scientific research. Yet, when seen through the lens of real-world applications, exascale computing goes from ethereal concept to tangible reality with exceptional benefits.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Rose Montgomery, a distinguished researcher and leader of the Used Fuel and Nuclear Material Disposition group at ORNL, has been selected to participate in the U.S. WIN Nuclear Executives of Tomorrow, or NEXT, class of 2023 to 2024.
Autonomous labs are changing the nature of scientific investigation. Instead of humans manually orchestrating every part of an experiment, programmed equipment can carry out necessary functions. This workflow accelerates the pace of discovery by reducing the number of monotonous tasks that researchers must perform.
Takaaki Koyanagi, an R&D staff member in the Materials Science and Technology Division of ORNL, has received the TMS Frontiers of Materials award.
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.