Wednesday, April 09, 2025

 

University of Oregon scientists advance a greener way to produce iron


If scaled up, the process could help cut carbon emissions in the steel industry




University of Oregon

Postdoc Ana Konovalova shows off the electrochemical cell designed in Paul Kempler’s lab. 

image: 

Postdoc Ana Konovalova shows off the electrochemical cell designed in Paul Kempler’s lab.

view more 

Credit: University of Oregon



University of Oregon chemists are bringing a greener way to make iron metal for steel production closer to reality, a step towards cleaning up an industry that’s one of the biggest contributors to carbon emissions worldwide. 

Last year UO chemist Paul Kempler and his team reported a way to create iron with electrochemistry, using a series of chemical reactions that turn saltwater and iron oxide into pure iron metal.  

In their latest work, they’ve optimized the starting materials for the process, identifying which kinds of iron oxides will make the chemical reactions the most cost-effective. That’s a key to making the process work at an industrial scale. 

“We actually have a chemical principle, a sort of guiding design rule, that will teach us how to identify low-cost iron oxides that we could use in these reactors,” Kempler said. 

The research was published April 9 in ACS Energy Letters. 

Almost 2 billion metric tons of steel were produced worldwide in 2024, used in everything from buildings to cars to infrastructure. Currently, the most fossil fuel-intensive part of that process is turning iron ore — the oxidized form of iron that’s found in nature — into pure iron metal.  

Traditionally done in blast furnaces that send carbon dioxide into the atmosphere, Kempler’s team is developing a different approach to iron production. 

Their process starts with saltwater and iron oxide, which are cheap and available, and transforms them into iron metal through a series of chemical reactions. Those reactions conveniently also produce chlorine, a commercially valuable byproduct. 

When Kempler and his team began developing their process a few years ago, they started with small quantities of iron oxides from chemical supply companies.  

Those materials worked well in lab tests. But they didn’t reflect the kind of iron-rich materials found naturally, which have much more variation in composition and structure.  

“So then a very natural next question was: What happens if you actually try to work with something which was dug out from the earth directly, without being extra purified, extra milled, and so on?” said Ana Konovalova, who co-led the project as a postdoctoral researcher in Kempler’s lab. 

As the team experimented with different kinds of iron oxides, it was clear that some worked much better than others. But the researchers weren’t sure what was driving the difference in the amount of iron metal they could generate from different starting materials. Was it the size of the iron oxide particles? The composition of the material? The presence or absence of specific impurities? 

Konovalova and graduate student Andrew Goldman found creative ways to test certain variables while keeping others the same. 

For example, they took iron oxide powder and made it into nanoparticles. They put some of the nanoparticles through a heat treatment that made them much denser and less porous.  

“It solidifies into this same secondary nanoparticle shape, but there are no more primary particles observed inside. It’s essentially the same material, just in different stages,” Konovalova said.  

In lab tests, the difference was striking: “With the really porous particles, we can make iron really quickly on a small area,” Goldman said. “The dense particles just can't achieve the same rate, so we’re limited in how much iron we can make per square meter of electrodes.” 

That’s a key insight for making the process work at an industrial scale, where success often comes down to economics.  

Large-scale electrochemical plants are expensive to build, and that cost scales with electrode area. To make it economically viable, the electrodes need to be able to generate enough product quickly enough to pay off the initial investment. The faster rate of reaction of the porous particles means the initial capital cost can be recouped faster, translating into a lower final cost for the iron product, ideally low enough to be competitive with conventional methods. 

The takeaway isn’t that these specific nanoparticles are needed to make the electrochemical process work well, Kempler said. Rather, the study suggests that the surface area of the starting materials really matters. The porous nanoparticles had much more surface area for the reaction to take place, making the reaction run faster. Other iron oxides with a porous structure could also be cost-effective.   

“The goal is to find something that's abundant, cheap and that’s going to have a smaller environmental impact than the alternative,” Kempler said. “We won't be satisfied if we invent something that’s more damaging than the main way that we make iron today.”

To take their process beyond the lab, Kempler’s lab is working with researchers in other fields. A collaboration with civil engineers at Oregon State University is helping them better understand what’s needed for the product to work in real-world applications. And collaboration with an electrode manufacturing company is helping them address the logistical and scientific challenges of scaling up an electrochemical process.   

“I think what this work shows is that technology can meet the needs of an industrial society without being environmentally devastating,” Goldman said. “We haven't solved all the problems yet, of course, but I think it's an example that serves as a nucleation point for a different way of thinking about what solutions look like. We can continue to have industry and technology and medicine, and we can do it in a way that’s clean — and that’s awesome!”  

— By Laurel Hamers, University Communications 

This research was supported by the U.S. Department of Energy. 

 

 

With new database researchers may be able to predict rare milky seas bioluminescent, glowing event 



Researchers have compiled a database of sightings over the last 400 years





Colorado State University

Satellite of milky sea 

image: 

For centuries, sailors have told tales of milky seas – huge swaths of ocean glowing on dark nights, seen in blue in this false–color satellite image. Steven D. Miller/NOAA

view more 

Credit: Credit Colorado State University/NOAA




For generations, sailors around the globe have reported a mysterious phenomenon: Vast areas of the ocean glow steadily at night, sometimes for months on end. The light is bright enough to read by and is oddly similar to the green and white aura cast by glow-in-the dark stars that have decorated children’s rooms. Stretching over ocean space as broad as 100,000 square kilometers, the light can, at times, even be seen from space.   

This rare bioluminescent display was coined by sailors as “milky seas.” Despite being encountered for centuries, scientists still know very little about what causes this glowing effect because they are quite rare – they usually occur in the remote regions of the Indian Ocean, far from human eyes. A likely theory is that the glow comes from activity by a luminous microscopic bacteria called Vibrio harveyi.    

To better predict when milky seas will occur, researchers at Colorado State University have compiled a database of sightings over the last 400 years. Described in the journal Earth and Space Science, the archive includes eyewitness reports from sailors, individual accounts submitted to the Marine Observer Journal over an 80-year period, and contemporary satellite data. This is the first such collection of data on milky seas in 30 years. Together, it shows that sightings usually happen around the Arabian Sea and Southeast Asian waters and are statistically related to the Indian Ocean Dipole and the El Niño Southern Oscillation. 

Both of those climate phenomena are known to impact global weather patterns, prompting researchers to wonder how the dazzling phenomenon may be connected to those processes. 

Justin Hudson, a Ph.D. student and the paper’s first author, said the database will help researchers better anticipate when and where a milky sea will occur. The goal, he said, is to get a research vessel out to the site in time to collect information about the biology and chemistry within a milky sea. Information about those variables could be helpful to connecting the event to broader Earth systems activity. 

Hudson added that the regions where milky seas occur feature a lot of biological diversity and are important economically to fishing operations.   

“It is really hard to study something if you have no data about it,” Hudson said. “To this point, there is only one known photograph at sea level that came from a chance encounter by a yacht in 2019. So, there is a lot left to learn about how and why this happens and what the impacts are to those areas that experience this.”   

What are the milky seas and how do they form?   

Bioluminescence comes in many forms across nature. One of the most common examples is a firefly’s flickering taillight. With milky seas, though, researchers are still trying to understand what is actually happening at the sea surface.   

One hint comes from a research vessel that had a chance encounter with a milky sea in 1985, which was able to collect a water sample. Researchers found that a specific strain of luminous bacteria was living on the surface of algae within a bloom – possibly causing an even glow in all directions. However, that is just one data point and could be misleading. To bridge the gap in understanding, researchers have tried to leverage information gathered from sporadic satellite imagery.   

Hudson said that, because of the regions most associated with the phenomenon, it seems likely the light is due to a biological process related to the bacteria.    

“The regions where this happens the most are around the northwest Indian Ocean near Somalia and Socotra, Yemen, with nearly 60% of all known events occurring there. At the same time, we know the Indian monsoon’s phases drive biological activity in the region through changes in wind patterns and currents,” he said. “It seems possible that milky seas represent an understudied aspect of the large-scale movement of carbon and nutrients through the Earth system. That seems particularly likely as we learn more and more about bacteria playing a key role in the global carbon cycle both on land and in the ocean.”   

Professor Steven Miller is the other author on the paper and has been conducting research on milky seas for years at CSU. He has led efforts to image the phenomenon from satellites and said the database should present new opportunity to get first-hand knowledge.   

“Milky seas are incredible expressions of our biosphere whose significance in nature we have not yet fully determined,” Miller said. “Their very existence points to unexplored connections between the surface and the sky, and between microscopic to the global scale roles of bacteria in the Earth system. With the help of this new database, forged from sea-faring ships of the 17th century all the way to spaceships of modern times, we begin to build a bridge from folklore to scientific understanding.”    

The paper represents a portion of Hudson’s research at CSU in the Department of Atmospheric Science as he works to finish and defend his thesis on the subject this summer. He said he hopes the database will further illuminate our understanding of the phenomenon.    

“We have no idea what milky seas mean for the ecosystems they are found in. They could be an indication of a healthy ecosystem or distressed one – the bacteria we suspect are behind it are a known pest that can negatively impact fish and crustaceans,” he said. “Having this data ready allows us to begin answering questions about milky seas beyond hoping and praying a ship runs into one accidentally.” 


The bioluminescence in milky seas is likely caused by a type of bacteria. 

Credit

Please credit S. Haddock • MBARI

Justin Hudson 

Credit

Colorado State University Department of Atmospheric Science

 

Engineers bring sign language to ‘life’ using AI to translate in real-time


Breakthrough technology translates American Sign Language into text




Florida Atlantic University

Using AI to Translate Sign Language in Real Time 

video: 

Bader Alsharif, the first author, demonstrates how the system spells out names and locations in real time using American Sign Language.

view more 

Credit: Florida Atlantic University




For millions of deaf and hard-of-hearing individuals around the world, communication barriers can make everyday interactions challenging. Traditional solutions, like sign language interpreters, are often scarce, expensive and dependent on human availability. In an increasingly digital world, the demand for smart, assistive technologies that offer real-time, accurate and accessible communication solutions is growing, aiming to bridge this critical gap.

American Sign Language (ASL) is one of the most widely used sign languages, consisting of distinct hand gestures that represent letters, words and phrases. Existing ASL recognition systems often struggle with real-time performance, accuracy and robustness across diverse environments.

A major challenge in ASL systems lies in distinguishing visually similar gestures such as “A” and “T” or “M” and “N,” which often leads to misclassifications. Additionally, the dataset quality presents significant obstacles, including poor image resolution, motion blur, inconsistent lighting, and variations in hand sizes, skin tones and backgrounds. These factors introduce bias and reduce the model’s ability to generalize across different users and environments.

To tackle these challenges, researchers from the College of Engineering and Computer Science at Florida Atlantic University have developed an innovative real-time ASL interpretation system. Combining the object detection power of YOLOv11 with MediaPipe’s precise hand tracking, the system can accurately recognize ASL alphabet letters in real time. Using advanced deep learning and key hand point tracking, it translates ASL gestures into text, enabling users to interactively spell names, locations and more with remarkable accuracy.

At its core, a built-in webcam serves as a contact-free sensor, capturing live visual data that is converted into digital frames for gesture analysis. MediaPipe identifies 21 keypoints on each hand to create a skeletal map, while YOLOv11 uses these points to detect and classify ASL letters with high precision.

“What makes this system especially notable is that the entire recognition pipeline – from capturing the gesture to classifying it – operates seamlessly in real time, regardless of varying lighting conditions or backgrounds,” said Bader Alsharif, the first author and a Ph.D. candidate in the FAU Department of Electrical Engineering and Computer Science. “And all of this is achieved using standard, off-the-shelf hardware. This underscores the system’s practical potential as a highly accessible and scalable assistive technology, making it a viable solution for real-world applications.” 

Results of the study, published in the journal Sensors, confirm the system’s effectiveness, which achieved a 98.2% accuracy (mean Average Precision, mAP@0.5) with minimal latency. This finding highlights the system’s ability to deliver high precision in real-time, making it an ideal solution for applications that require fast and reliable performance, such as live video processing and interactive technologies.

With 130,000 images, the ASL Alphabet Hand Gesture Dataset includes a wide variety of hand gestures captured under different conditions to help models generalize better. These conditions cover diverse lighting environments (bright, dim and shadowed), a range of backgrounds (both outdoor and indoor scenes), and various hand angles and orientations to ensure robustness.

Each image is carefully annotated with 21 keypoints, which highlight essential hand structures such as fingertips, knuckles and the wrist. These annotations provide a skeletal map of the hand, allowing models to distinguish between similar gestures with exceptional accuracy.

“This project is a great example of how cutting-edge AI can be applied to serve humanity,” said Imad Mahgoub, Ph.D., co-author and Tecore Professor in the FAU Department of Electrical Engineering and Computer Science. “By fusing deep learning with hand landmark detection, our team created a system that not only achieves high accuracy but also remains accessible and practical for everyday use. It’s a strong step toward inclusive communication technologies.”

The deaf population in the U.S. is approximately 11 million, or 3.6% of the population, and about 15% of American adults (37.5 million) experience hearing difficulties.

“The significance of this research lies in its potential to transform communication for the deaf community by providing an AI-driven tool that translates American Sign Language gestures into text, enabling smoother interactions across education, workplaces, health care and social settings,” said Mohammad Ilyas, Ph.D., co-author and a professor in the FAU Department of Electrical Engineering and Computer Science. “By developing a robust and accessible ASL interpretation system, our study contributes to the advancement of assistive technologies to break down barriers for the deaf and hard of hearing population.”

Future work will focus on expanding the system’s capabilities from recognizing individual ASL letters to interpreting full ASL sentences. This would enable more natural and fluid communication, allowing users to convey entire thoughts and phrases seamlessly.

“This research highlights the transformative power of AI-driven assistive technologies in empowering the deaf community,” said Stella Batalama, Ph.D., dean of the College of Engineering and Computer Science. “By bridging the communication gap through real-time ASL recognition, this system plays a key role in fostering a more inclusive society. It allows individuals with hearing impairments to interact more seamlessly with the world around them, whether they are introducing themselves, navigating their environment, or simply engaging in everyday conversations. This technology not only enhances accessibility but also supports greater social integration, helping create a more connected and empathetic community for everyone.”

Study co-authors are Easa Alalwany, Ph.D., a recent Ph.D. graduate of the FAU College of Engineering and Computer Science and an assistant professor at Taibah University in Saudi Arabia; Ali Ibrahim, Ph.D., a Ph.D. graduate of the FAU College of Engineering and Computer Science.

Illustration of the 21 keypoints tracked by MediaPipe’s hand tracking model.

Annotated American Sign Language alphabet hand gestures with 21 keypoints for model training.

Caption

Demonstrating the effectiveness of annotation in batch processing through accurate localization of keypoints.

- FAU -

About FAU’s College of Engineering and Computer Science:

The FAU College of Engineering and Computer Science is internationally recognized for cutting-edge research and education in the areas of computer science and artificial intelligence (AI), computer engineering, electrical engineering, biomedical engineering, civil, environmental and geomatics engineering, mechanical engineering, and ocean engineering. Research conducted by the faculty and their teams expose students to technology innovations that push the current state-of-the art of the disciplines. The College research efforts are supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Defense (DOD), the Department of Transportation (DOT), the Department of Education (DOEd), the State of Florida, and industry. The FAU College of Engineering and Computer Science offers degrees with a modern twist that bear specializations in areas of national priority such as AI, cybersecurity, internet-of-things, transportation and supply chain management, and data science. New degree programs include Master of Science in AI (first in Florida), Master of Science and Bachelor in Data Science and Analytics, and the new Professional Master of Science and Ph.D. in computer science for working professionals. For more information about the College, please visit eng.fau.edu

 

About Florida Atlantic University:
Florida Atlantic University, established in 1961, officially opened its doors in 1964 as the fifth public university in Florida. Today, Florida Atlantic serves more than 30,000 undergraduate and graduate students across six campuses located along the Southeast Florida coast. In recent years, the University has doubled its research expenditures and outpaced its peers in student achievement rates. Through the coexistence of access and excellence, Florida Atlantic embodies an innovative model where traditional achievement gaps vanish. Florida Atlantic is designated as a Hispanic-serving institution, ranked as a top public university by U.S. News & World Report, and holds the designation of “R1: Very High Research Spending and Doctorate Production” by the Carnegie Classification of Institutions of Higher Education. Florida Atlantic shares this status with less than 5% of the nearly 4,000 universities in the United States. For more information, visit www.fau.edu.

 

 

Enhancing power distribution systems with renewable energy: a new configuration approach



Beijing Institute of Technology Press Co., Ltd

Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis 

image: 

Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis

view more 

Credit: GREEN ENERGY AND INTELLIGENT TRANSPORTATION




A groundbreaking study presents a comprehensive approach to restructuring medium-level voltage (MLV) distribution systems that enhances reliability while reducing both energy losses and carbon emissions.

 

The study introduces an innovative "N+1 bus configuration" for radial distribution systems (RDS) - a simple yet powerful modification to conventional power networks that adds just one additional tie line to existing systems. This seemingly minor change delivers remarkable improvements in system performance when combined with distributed renewable energy resources (DER).

 

The research team conducted extensive testing on both real-time radial distribution systems and standard IEEE test systems, evaluating multiple performance metrics:

- Voltage stability: The N+1 configuration demonstrated superior voltage performance across all buses

- Line carrying capacity: All lines operated comfortably below 75% of capacity

- System losses: Total power losses were reduced to just 0.379% of total power flow

- Contingency ranking: The new configuration showed significantly improved resilience during line outage scenarios

 

A key contribution of this research is its thorough contingency ranking analysis, which evaluates how well the system performs when individual components fail - a critical consideration for institutional power systems where reliability is paramount. "The impact of line outages is dramatically reduced in the N+1 bus system," the researchers explain. "For example, when the line connecting buses 2 and 3 fails, the severity ranking improves from 3 to 9 for voltage performance and from 2 to 3 for flow performance compared to conventional systems."

 

Beyond the technical improvements, the study quantifies significant environmental benefits from the proposed configuration:

- Carbon reduction: The N+1 configuration reduces CO2 emissions by approximately 14.62 metric tons compared to 9.014 metric tons in conventional systems

- Resource optimization: The approach enables more efficient sizing and utilization of renewable energy sources

 

To ensure the reliability of their findings, the researchers employed multiple analytical approaches, including MiPower tool modeling, Grey Wolf Optimization (GWO) algorithm, and IEEE standard test systems. The results consistently showed that the N+1 configuration outperformed conventional approaches across all metrics and testing methodologies.

 

The researchers suggest that their approach could be extended to commercial buildings and other types of distribution systems. Future studies could examine:

- Performance in commercial distribution systems with multiple renewable feed points

- Additional optimization of renewable resource placement and sizing

- Integration with smart grid technologies for dynamic reconfiguration

- Economic analysis of implementation costs versus operational savings

 

This research represents a significant step forward in making institutional power systems more reliable, efficient, and environmentally sustainable through thoughtful integration of renewable energy sources and strategic network reconfiguration.