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Daryl Yang standing on a bridge overlooking a pond covered in water lillies

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.

Matthew Loyd

ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award. 

dog

After retiring from Y-12, Scott Abston joined the Isotope Science and Engineering Directorate to support isotope production and work with his former manager. He now leads a team maintaining critical equipment for medical and space applications. Abston finds fulfillment in mentoring his team and is pleased with his decision to continue working.

forest under study in Panama

Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.

Robert Saethre has worked to create a LEGO model of the ring injection region of the SNS’ pulsed accelerator that features the new Proton Power Upgrade magnets and vacuum chambers.

The "SNS LEGO Model Middle School Outreach Program" invites middle school students to build a LEGO model of the SNS, a major scientific accelerator. This engaging initiative aims to teach students about STEM careers and the inner workings of the SNS through hands-on construction and interactive lessons. Launching next spring, the program seeks to inspire interest in science and engineering among young learners.

Researchers from ORNL and Western Michigan University prepare for a Chattanooga-based demonstration of a self-driving car using chip-enabled raised pavement markers for navigation.

ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.

ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.

Wavy photo representing high performance computing

Office of Science to announce a new research and development opportunity led by ORNL to advance technologies and drive new capabilities for future supercomputers. This industry research program worth $23 million, called New Frontiers, will initiate partnerships with multiple companies to accelerate the R&D of critical technologies with renewed emphasis on energy efficiency for the next generation of post-exascale computing in the 2029 and beyond time frame.

Scientists used neutrons to study the role of ergosterol (green), a cholesterol-like lipid found in the lipid bilayer (yellow) of fungi, which could help in combatting fungal infections that each year cause almost 1.7 million fatalities globally.

A group of scientists at the Department of Energy’s Oak Ridge National Laboratory have conducted neutron scattering research to reveal key information about fungus cell membranes that could aid in developing new antifungal treatments. 

Bryan Maldonado

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.