Feature Articles

Strengthening the competitiveness of the American transportation industry relies on developing domestically produced electric vehicle batteries that enable rapid charging and long-range performance. By integrating a new type of current collector, which is a key battery component, researchers at the Department of Energy’s Oak Ridge National Laboratory have demonstrated how to manufacture a battery with both superior energy density and a lasting ability to handle extreme fast charging. This enables restoring at least 80% of battery energy in 10 minutes.

Stronger than steel and lighter than aluminum, carbon fiber is a staple in aerospace and high-performance vehicles — and now, scientists at Oak Ridge National Laboratory have found a way to make it even stronger. Using the Frontier supercomputer, they simulated 5 million atoms to study a novel process for making carbon fiber composites stronger and more cost efficient by incorporating a reinforced layer of polyacrylonitrile nanofibers, or PAN fibers. The research could lead to new ultra-durable materials for airplanes, electric vehicles, and a wide range of manufacturing applications that require stronger, more lightweight materials.

As the focus on energy resiliency and competitiveness increases, the development of advanced materials for next-generation, commercial fusion reactors is gaining attention. A recent paper examines a promising candidate for these reactors: ultra-high-temperature ceramics, or UHTCs.

Recent advancements at the U.S. Department of Energy’s Oak Ridge National Laboratory show that 3D-printed metal molds offer a faster, more cost-effective and flexible approach to producing large composite components for mass-produced vehicles than traditional tooling methods.

 

The research, conducted at the Manufacturing Demonstration Facility, or MDF, at ORNL, confirms that large-scale additive manufacturing is well-suited for creating complex metal molds, with efficiencies that could accelerate the adoption of lightweight composite materials in the automotive sector.

 

Scientists at ORNL have developed a first-ever method of detecting ribonucleic acid, or RNA, inside plant cells using a technique that results in a visible fluorescent signal. The technology can help researchers detect and track changes in RNA and gene expression in real time, providing a powerful tool for the development of hardier bioenergy and food crops and for detection of unwanted plant modifications, pathogens and pests.  

A research team from the Department of Energy’s Oak Ridge National Laboratory, in collaboration with North Carolina State University, has developed a simulation capable of predicting how tens of thousands of electrons move in materials in real time, or natural time rather than compute time.

The Heartbeat Detector, which utilizes an algorithm developed by researchers at the Department of Energy’s Oak Ridge National Laboratory, detects individuals attempting to hide in vehicles at security checkpoints. The technology has become the industry standard since it was first licensed by Geovox Security Inc. from ORNL nearly 30 years ago and it continues to evolve.

Microbiologist and entrepreneur Jesse Labbé excels at cultivating discovery and innovation. As the new director of the Biosciences Division at the Department of Energy’s Oak Ridge National Laboratory, he’s leading a team focused on science and technologies to boost U.S. competitiveness, strengthen national and energy security and advance human health.

To create a more resilient electric grid that meets the nation’s increasing power demands, utilities are incorporating a wider array of energy sources. But this shift requires the ability to predict how the grid will react to fluctuations in the flow of electricity from new sources of power. Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior while maintaining what is called a “black box” approach. This technique does not require details about the proprietary technology inside the equipment — in this case, a type of power electronics called an inverter. 

ORNL has developed a network of autonomous science laboratories outfitted with state-of-the-art artificial intelligence and robotic systems and connected to the lab’s world-class user facilities. The goal is to supercharge the research process while producing scientific breakthroughs that would be unachievable in a traditional setting.