Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (13)
- (-) Bioenergy (17)
- (-) Machine Learning (7)
- (-) National Security (16)
- Advanced Reactors (2)
- Artificial Intelligence (6)
- Big Data (8)
- Biology (22)
- Biomedical (11)
- Biotechnology (4)
- Buildings (10)
- Chemical Sciences (9)
- Clean Water (7)
- Climate Change (16)
- Composites (3)
- Computer Science (13)
- Coronavirus (6)
- Critical Materials (2)
- Cybersecurity (6)
- Decarbonization (16)
- Energy Storage (14)
- Environment (38)
- Exascale Computing (3)
- Frontier (3)
- Fusion (7)
- Grid (7)
- High-Performance Computing (9)
- Hydropower (2)
- Isotopes (12)
- ITER (1)
- Materials (8)
- Materials Science (13)
- Mathematics (5)
- Mercury (4)
- Microscopy (9)
- Nanotechnology (6)
- Net Zero (2)
- Neutron Science (9)
- Nuclear Energy (15)
- Partnerships (1)
- Physics (16)
- Polymers (5)
- Quantum Computing (1)
- Quantum Science (2)
- Security (6)
- Simulation (5)
- Summit (2)
- Sustainable Energy (14)
- Transportation (12)
Media Contacts
Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
As a data scientist, Daniel Adams uses storytelling to parse through a large amount of information to determine which elements are most important, paring down the data to result in the most efficient and accurate data set possible.
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.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
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.
ORNL’s Assaf Anyamba has spent his career using satellite images to determine where extreme weather may lead to vector-borne disease outbreaks. His work has helped the U.S. government better prepare for outbreaks that happen during periods of extended weather events such as El Niño and La Niña, climate patterns in the Pacific Ocean that can affect weather worldwide.
Canan Karakaya, a R&D Staff member in the Chemical Process Scale-Up group at ORNL, was inspired to become a chemical engineer after she experienced a magical transformation that turned ammonia gas into ammonium nitrate, turning a liquid into white flakes gently floating through the air.
Walters is working with a team of geographers, linguists, economists, data scientists and software engineers to apply cultural knowledge and patterns to open-source data in an effort to document and report patterns of human movement through previously unstudied spaces.