Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (18)
- Building Technologies (2)
- Clean Energy (35)
- Computational Engineering (1)
- Computer Science (2)
- Energy Sciences (1)
- Fusion Energy (1)
- Materials (3)
- Materials for Computing (2)
- Mathematics (1)
- National Security (1)
- Renewable Energy (1)
- Supercomputing (1)
News Type
News Topics
- (-) Hydropower (8)
- (-) Mathematics (5)
- (-) Sustainable Energy (57)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Artificial Intelligence (17)
- Big Data (21)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (27)
- Chemical Sciences (17)
- Clean Water (19)
- Climate Change (36)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- Grid (27)
- High-Performance Computing (20)
- Irradiation (2)
- Isotopes (14)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Materials Science (45)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Security (7)
- Simulation (10)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Transportation (47)
Media Contacts
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
Alyssa Carrell started her science career studying the tallest inhabitants in the forest, but today is focused on some of its smallest — the microbial organisms that play an outsized role in plant health.
Mirko Musa spent his childhood zigzagging his bike along the Po River. The Po, Italy’s longest river, cuts through a lush valley of grain and vegetable fields, which look like a green and gold ocean spreading out from the river’s banks.
Growing up exploring the parklands of India where Rudyard Kipling drew inspiration for The Jungle Book left Saubhagya Rathore with a deep respect and curiosity about the natural world. He later turned that interest into a career in environmental science and engineering, and today he is working at ORNL to improve our understanding of watersheds for better climate prediction and resilience.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
Oak Ridge National Laboratory scientists led the development of a supply chain model revealing the optimal places to site farms, biorefineries, pipelines and other infrastructure for sustainable aviation fuel production.
Climate change often comes down to how it affects water, whether it’s for drinking, electricity generation, or how flooding affects people and infrastructure. To better understand these impacts, ORNL water resources engineer Sudershan Gangrade is integrating knowledge ranging from large-scale climate projections to local meteorology and hydrology and using high-performance computing to create a holistic view of the future.
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.