Motion-triggered cameras showcase the prevalence of ‘nectar robbing’ in Hawaiian flowers

Some long curved bills are the perfect implement for drawing sweet nectar from deep within a lobelioid flower. As birds reach into flowers to access the nectar stored near the base, their bills can brush against the ‘ pollen-bearing structures, making hungry honeycreepers important pollinators. But some of these specialized honeycreepers have gone extinct. Shorter-billed species can now “rob” nectar — without contacting the flower’s pollen-bearing structures — from the endangered flowers. A UW-led team used motion cameras to gauge how often nectar robbing occurs. The results, in Ecology and Evolution, reveal both nectar robbing and pollination visits, showcasing a broader pattern that the team previously identified . Nectar robbing can damage flowers and leave less nectar for other potential pollinators. The researchers 3D printed a bird bill to simulate nectar robbing and track changes in nectar availability and the plants’ ability to reproduce. Damaged flowers often struggled to replenish their nectar stores, but were still able to produce fruit and viable seeds. These studies are part of a that aims to catalog Hawaiian bird-plant interactions through time, specifically tracking how these interactions are reshaped by extinction.

For more information, contact lead author , a UW research scientist in the biology department, at sam.case24@gmail.com.

The other UW co-authors are , Christopher Steinbronn and . A full list of co-authors and funding is .

People with anxious attachment styles are more likely get emotionally involved with ChatGPT

rose to popularity in the late 20th Century as a way to categorize how people bond with others. Someone with an anxious attachment style, for instance, fears abandonment and rejection, whereas someone with an avoidant attachment style is independent at the cost of personal closeness. In , UW researchers explored how peoples’ attachment styles affect their interactions with ChatGPT. The team analyzed the chat histories of 105 young adults, each of whom completed an attachment-style survey. Researchers found that they could automatically detect peoples’ attachment styles based on their interactions with the chatbot. People with an anxious attachment style were more likely to be emotionally involved with the AI system, writing things like “Can you please love me?” and “I miss my ex and I can’t sleep because of it.” Anxious users were also more prone to trust ChatGPT and to follow its recommendations. The team argues that this highlights the need for policies that prohibit companies from psychologically profiling users without their consent, since it leaves them vulnerable to manipulation.

For more information, contact senior author , a UW associate professor in the Information School, at alexisr@uw.edu or lead author , a doctoral student in the Information School, at marxwang@uw.edu.

The other UW co-authors are , , and .

Nursing is a major energy suck, but it’s difficult to estimate the toll for many marine mammals

Marine mammals lactate like any other mammal, but the energetic demands are difficult to measure in wild animals and thus not well understood.�� Researchers are concerned that some marine mammals may not be getting enough food, which can lead to failure to reproduce and . To understand the link between nutritional status and reproduction, researchers need to know what marine mammals require to rear offspring. A published in PLOS One modeled the daily costs of lactation using data from semi-aquatic and terrestrial mammals to explore whether results could be generalized to other species, like whales and dolphins. Modeling could approximate lactation costs of certain understudied marine mammals, including seals and sea lions, but appeared unable to produce accurate estimates for whales and dolphins. Lactation costs increase over time for most animals, but seem to be higher early in lactation for marine mammals, possibly due to their fully aquatic lifestyle. The study highlights a need for other methods to fill the remaining data gap to better understand the impacts of environmental change on marine mammals.

For more information, contact lead author , a research scientist in the UW Cooperative Institute for Climate, Ocean, & Ecosystem Studies, at emchuron@uw.edu. Funding information is .

Simulations suggest that lasers could ‘calm’ persnickety plasma

could supply humanity with — provided that scientists and engineers can work out how to create sustained fusion reactions safely, efficiently and affordably. The trick is in the taming of , a superhot state of matter made of free-floating electrons and atomic nuclei. When compressed to outlandish pressures and temperatures in a reactor, the nuclei fuse with one another, releasing energy. In that extreme environment, plasma forms instabilities that can derail a fusion reaction; much fusion research is focused on “calming” volatile plasma. published in Physics of Plasmas, UW researchers and other collaborators simulated a novel strategy to control instabilities using two opposing laser beams. By tuning the lasers’ properties — such as their frequency and polarity — the researchers prevented instabilities from growing and cascading. Surprisingly, the lasers also delayed other instabilities within the plasma, even though they were not directly targeted by the laser fields. By taking advantage of interactions within the plasma, the researchers found a way to calm instabilities indirectly. The results could help experts develop algorithms that stabilize plasma in real time, sustaining fusion conditions long enough to produce useful energy.

For more information, contact , UW professor of aeronautics and astronautics at shumlak@uw.edu.

A full list of co-authors and funding is .

When exposed to air, new nanomaterial becomes magnetic at high temperatures

While fridge magnets are great for saving favorite recipes, modern magnetic materials are useful for improving fiber optics or quantum information sciences technology. If you zoomed in on most fridge magnets, you’d see the atoms arranged in a repeated lattice structure called a “spinel.” These structures are made up of three types of atoms, generically referred to as atoms “A,” “B” and “X.” In a paper in the Journal of the American Chemical Society, UW researchers describe two new spinels made of silver, chromium and selenium ions. These are among the first spinels to include a silver ion in the “A” slot, the slot that determines the “vibe” of the spinel, or how it will react to various stimuli, such as light, heat or air. When exposed to air, the original spinel loses silver ions and transforms into the second spinel. The second spinel maintains its magnetic properties up to 400 Kelvin, or 260 degrees Fahrenheit; the original loses its magnetism at 152 K, or -185 F. This is the largest change ever documented in what is known as the Curie temperature, or the highest temperature at which a material is still magnetic. The researchers plan to continue to explore these two materials and what they can teach us about the fundamentals of magnetism.

For more information, contact lead author , UW doctoral student in chemistry, at ekbacong@uw.edu.����������

The other UW co-authors are Charlize Agag, , , , Yinuo Xu, , , and . A full list of co-authors and funding is .

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Most of the stars in sit neatly on a flat plane. But the space around our galaxy is much more chaotic. Rogue bands of stars called “” orbit the Milky Way much like planets in our solar system orbit the sun.

Astronomers have long been fascinated by the possibility that stellar streams could indirectly reveal the presence of , that mysterious theorized substance that doesn’t interact with light or normal matter — except via gravity. However, a new ������˾�� study casts doubt on a leading theory linking dark matter and stellar streams, and raises new questions about both galactic phenomena.

“Dark matter makes up most of the mass in the universe and forms the scaffolding that galaxies grow on, but we still don’t know what it is,” said co-author , a UW assistant professor of astronomy. “The Milky Way is one of the best laboratories we have for figuring that out, and stellar streams are one of the sharpest tools inside it.”

in The Astrophysical Journal.

A stellar stream forms when a group of stars crashes into a galaxy and becomes ensnared by its gravity. As the stars orbit the galaxy, its gravity stretches the cluster into a . Most galaxies host stellar streams, though the Milky Way’s are the most visible to astronomers. 

In our galaxy, most stellar streams we can see are irregular — gaps and kinks interrupt an otherwise uniform smear of stars. Many astronomers believe that those irregularities could signal the gravitational tug from small clumps of dark matter, called subhalos. If there are indeed subhalos sprinkled throughout the galaxy, studying the aberrations in stellar streams could teach us about the composition of dark matter.

The new study was an effort to understand the role that the host galaxy — rather than the dark matter clumps within it — plays in shaping stellar streams. Astronomers simulated four Milky Way-sized galaxies without any dark matter clumps, then peppered them with roughly 15,000 stellar streams. After five billion simulated years, the team observed irregularities in nearly every stellar stream.

“In our simulations, the host galaxies alone caused the same kinds of irregularities that we observe in real stellar streams,” said lead author , a UW postdoctoral scholar in astronomy. “Now that we can predict what the host galaxy does on its own, we can start isolating the part that dark matter is responsible for.”

The cause of the irregularities was the structure of the galaxies themselves. In each simulated galaxy, stars were spread somewhat unevenly across the disc, creating areas of greater and lesser density to mimic the composition of a real galaxy like ours. As the simulated streams of stars passed through denser regions of space, they were bent and torn by the irregular gravitational landscape.

Arora expected the host galaxies to impart some irregularities on the streams, but the sheer number caught him off guard.

“We found that almost all of the streams had some sort of structural variation,” Arora said. “So this idea that streams are naturally thin and smooth wasn’t really necessarily true.”

The simulation generated wiggles, kinks, spurs, branches, gaps and clumps; some streams were totally torn apart by the gravitational froth of their host galaxies. Streams orbiting closer to the galactic core were thrown into dense clumpy regions of space more often, where they acquired more irregularities. Out of the 15,000 streams spread across the four host galaxies, only 70 remained perfectly smooth after five billion years. 

The results might seem disheartening, but the UW team believes they chart a clear and exciting course for the future of dark matter research. Arora wants to include dark matter clumps in the next simulation to see whether they produce stellar stream irregularities that are distinct from those caused by the host galaxy alone. 

There may also be opportunities to check simulations against new observations: the is , which will help astronomers build a taxonomy of stream features and — hopefully — discover fingerprints of dark matter.

“Sadly there’s no magic wand to reveal the structure of dark matter,” said , a research assistant professor of astronomy at the UW. “Streams are complex systems, but they’re still the most interesting way to study the dark matter close to home.” 

Co-authors from the UW astronomy department include , a postdoctoral fellow; , an undergraduate student; and and , graduate students.

A complete list of co-authors is .

This research was funded by the Gordon and Betty Moore Foundation.

For more information, contact Arora at arora125@uw.edu.

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Today’s wireless technologies harness chunks of the for myriad uses — radio waves broadcast TV and radio; microwaves transmit cellphone signals and cook our food; X-rays image our bodies; gamma rays kill cancerous cells.

, however, is interested in more neglected slices of the spectrum. Naghavi, an assistant professor of electrical and computer engineering at the ������˾��, studies the “terahertz band,” a region of the spectrum . Terahertz frequencies are notoriously difficult to work with, but they hold enormous potential in the fields of sensing, imaging and communications — future sensors, for example, could help firefighters “see” through smoke during rescue operations.

Naghavi recently joined a cohort of researchers from across the country who were awarded grants by the U.S. Department of Energy’s , an initiative to apply artificial intelligence across a wide range of research areas; other UW researchers are part of a Genesis-funded project to advance AI-driven cosmology. With the grant, Naghavi plans to develop compact, efficient sensors that could enable wearable gadgets to image their environment in new ways.

UW News caught up with Naghavi to learn about his new project and how it extends his work on terahertz frequencies.

What is the terahertz band and why are you studying it?

Hossen Naghavi: The terahertz band is a segment of the electromagnetic spectrum that lies between 100 gigahertz and 10 terahertz — the microwave band sits below it, and the optical band sits above it. That position gives terahertz waves a unique combination of microwave and optical properties. Microwaves can see through opaque materials like clothing, smoke or fire, but their long wavelengths limit the resolution of microwave imaging. Optical waves have the opposite problem. Their wavelengths are short, so they produce high-resolution images, but most materials block visible light completely, which makes it impossible to see inside or behind an object.

Terahertz waves are a sort of “happy medium.” Their wavelengths are short enough to give useful resolution but long enough to see through many materials. That combination allows us to build new sensors and cameras that can detect concealed objects or image scenes through smoke, dust and other conditions that defeat conventional optics.

What are some applications you envision for terahertz frequencies?

HN: is expected to become a defining mode of human-computer interaction, but realizing its full potential requires machines that can perceive and understand their surroundings far beyond what the human eye can see. Consider a high-stakes setting such as firefighting, where an augmented reality headset powered by terahertz waves could help firefighters locate victims or identify hazardous materials through smoke, fog and debris.��

Beyond firefighting and emergency response, terahertz technologies could also aid in autonomous navigation, security screening, industrial inspection, biomedical sensing, molecular spectroscopy, agricultural applications, and 5G and 6G communication networks.��

Sounds exciting! What’s the catch?

HN: Sensors that use terahertz waves, like the ones in our firefighting headset example, have been demonstrated in the lab. However, low-cost, low-power electronics that would be practical in a wearable device have not yet been developed.

Terahertz sensors produce high-resolution image streams, and processing them conventionally means moving enormous amounts of data to a central processor for analysis by an artificial intelligence system. That consumes too much power and adds too much delay to be practical in a lightweight device meant to be worn all day.

Tell us about your new project. How will it address some of the hurdles facing terahertz technologies?

HN: The usual way to build a terahertz imager is to split the job in two. The radar sensor collects raw signals, and a separate processor turns the signals into a picture. That division sounds sensible, but it is the source of most of the trouble. The raw signals arriving at each of the sensor’s antennas are slightly out of step with one another, and the processor has to line them all up before an image can form. That alignment requires a lot of continuous computation, which drains batteries quickly and introduces lag.

The natural comparison is the human eye. Your retina does not ship every photon to your brain for interpretation. It processes what it sees on the spot and passes along something much more compact, which is part of why vision costs your body so little energy. We are trying to give a terahertz sensor the same quality, which is why we describe the design as “neuromorphic,” meaning “brain-inspired.”

Who are you working with on this technology, and what’s next?

HN: My group at the UW and ‘s group at Texas A&M University are designing and building the sensor hardware. at the University of Utah and at ChipNexus are developing and implementing the AI system. This is a highly collaborative project.

Our next big milestone is to demonstrate a terahertz neuromorphic imager as a proof of concept in Phase I of our Genesis Mission project. Moving forward, we hope to expand the project into Phase II to add even more capabilities and make this technology accessible for public usage as early as possible.

For more information, contact Naghavi at naghavi@uw.edu.

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New design process accelerates the discovery of advanced materials

Flexible materials that combine mechanical flexibility with high thermal or electrical conductivity are essential for wearables, stretchable electronics and soft robotic systems. To identify new composite materials with those properties, researchers typically create and test many different material formulations, a process that can be time-consuming, expensive and lead to waste. , UW researchers developed a new “inverse design framework” that reverses the standard design process to speed up the discovery of multifunctional materials. The framework starts with the desired material properties for a specific application — such as wearable electronics — and works backward to determine the optimal material composition using physics-based modeling and machine learning. Experiments showed that a material identified by the framework achieved about 60% higher thermal conductivity while reducing material cost by about 10%, compared to materials that were previously used.��

For more information, contact senior author , UW assistant professor of mechanical engineering.��

The other co-authors are Lijun Zhou, Yunsik Ohm, Ren-Mian Chin, Olivia Kerr and Krithika Manohar.

Climate models get a vote of confidence in a new UW study mapping tropical ocean temperature over time

Climate models help researchers understand how conditions are changing over time to forecast what is likely to happen in the future. Predicting extreme heat, drought or flooding years in advance can give people time to prepare, but the accuracy of these predictions varies. Scientists test models by asking them to recreate past climate and comparing those predictions with observational data. Although modern climate models get a lot of things right, they often fail to replicate recent temperature change in the tropical Pacific Ocean, a key region for global weather. This has concerned scientists, but a UW study offers a glimmer of hope. The researchers found that climate models could successfully replicate temperature trends in the equatorial Pacific when they expanded the window of observation by 20 years. Including more data allowed the models to better account for climate variability, which can create long-lasting fluctuations in temperature and precipitation that aren’t always indicative of a general trend.��

For more information, contact senior author Matt Luongo, UW postdoctoral fellow in the Cooperative Institute for Climate, Ocean, & Ecosystem Studies and School of Oceanography at mluongo@uw.edu.

The other UW co-author is . A full list of co-authors is .

Paternal body odor increases brain-to-brain synchrony with infants

Infant brains recognize their fathers as unique social partners, showing stronger brain-to-brain synchrony with their fathers compared to unfamiliar males during social interactions. A new study also shows that when infants interact with unfamiliar males while exposed to their fathers’ body odor, their brain synchrony increases to levels similar to those seen with their own fathers. Further, exposure to paternal body odor increased infants’ positive arousal. These findings suggest that infants use their fathers’ scent as an important social cue, even when the father is not physically present. Researchers also found that father-infant synchrony involved a different neural rhythm than previously observed in mother-infant interactions, suggesting that mothers and fathers may support development through complementary neural pathways. Combined, these findings reveal a previously unknown role of paternal body odor as a sensory signal that contributes to early social and brain development.

For more information, contact , co-author and a research scientist in the UW Institute for Learning and Brain Sciences.��

The other co-authors are Linoy Schwartz and Ruth Feldman.

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Landslides cause an estimated in the United States. Those numbers could easily increase as housing needs spur development in landslide-prone areas, and as climate change , which are often a trigger. Despite the threat, there has never been a systematic, nationwide accounting of who is most at risk from landslides.

The new is the first resource to map building-level landslide risk for the entire U.S. The database, developed by ������˾�� researchers, rates 128 million buildings by landslide susceptibility, and uses socioeconomic data to assess residents’ vulnerability to the dangers and disruptions caused by landslides.��

According to the analysis, roughly 6.5 million people live in landslide-prone regions; most of those people are concentrated in Appalachia and along the West Coast. Urban residents of landslide-prone properties tended to be more affluent and resilient, whereas rural residents in at-risk areas tended to be less resourced and more vulnerable to the impacts of a landslide.

The results give government agencies and emergency managers a way to prioritize resources for landslide education and mitigation, and can also help individual residents understand their own risk.

“As a community of landslide researchers, we have spent almost all of our time studying the physical geography of landslides,” said , a UW professor of civil and environmental engineering and the co-creator of the database. “But we never considered the human geography. Now we can answer some very important questions about who is exposed.”

Wartman and his team in Earth’s Future. They also along with user-friendly tools to help nonscientists browse the results.��

To create the new database, the research team blended together multiple huge datasets: a map of terrain and landslide susceptibility made by the United States Geological Survey; inventories of building footprints and occupancy information from the Overture Maps Foundation and the Army Corps of Engineers, respectively; and socioeconomic data from the Census Bureau. The census dataset included information like income, disability, vehicle access, housing condition and other factors that impact the ability of communities to respond to disasters.

“This effort was much more than just merging massive datasets,” said lead author , a UW doctoral student of civil and environmental engineering. “The real work was the careful curation required to turn the incredibly rich data available in the U.S. into an accurate, usable tool for everyone from decision makers to the public.”

The analysis revealed that while almost 20% of the land in the country is prone to landslides, that area is home to just 2% of the population, or about 6.5 million people. Of those highest-risk residents, 80% live either on or near the West Coast or in Appalachia; West Virginia emerged as the state with the largest share of at-risk residents.

“Those concentrations were surprising,” Wartman said. “In a sense, it’s good news, because it shows landslide risk to be a localized hazard, which makes it more practical and affordable to address.”

The results also reveal an unexpected urban-rural divide. In rural areas across the country, the most landslide-prone communities tend to face greater economic constraints and are thus more vulnerable than the overall population. Residents there often have fewer resources to prepare for or recover from a landslide, for example, and are more likely to live in structures far from emergency services.

But in urban areas, Wartman said, “all of that flips on its head.”

Landslide-prone areas in cities tend to be highly valued hillside neighborhoods with desirable views, so the exposed populations are often better resourced. When a landslide occurs, these residents typically have greater financial capacity to recover from the damage.

Because of those complex regional and socioeconomic differences, the researchers warn against a “one-size-fits-all” approach to landslide policy. Instead, they recommend mitigation strategies that are specific to each region’s realities. In Appalachia, that might mean early warning systems that can reach a widely dispersed population, whereas in Seattle or San Francisco it might mean regulations that discourage building on unsafe slopes.

Wartman hopes that researchers and regulators will use the dataset to study landslide risk and develop new ways to protect residents across the country. He also sees it as an educational tool for anyone to learn about landslides and assess their own risk.

“People email me because they want to know if their homes are at risk, and I haven’t had a resource to point them to,” Wartman said. “That was a big part of the motivation for this work. Now I have something straightforward to offer them.”

, professor of civil, construction and environmental engineering at North Carolina State University, is a co-author of the research.

This research was funded by the National Science Foundation.

For more information, contact Wartman at wartman@uw.edu.

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New images of cigar-shaped M82 galaxy capture millions of stars

The Messier 82 galaxy, known as M82 or the Cigar galaxy, has long fascinated researchers with its astronomical rate of star formation — approximately 10 times faster than the Milky Way. Researchers have pored over grainy, low-resolution, images taken by previous generations of telescopes, which weren’t powerful enough to see through the thick cloud of dust surrounding the galaxy. The , however, can pierce straight through with extremely sharp vision. That enabled a team of astronomers from multiple institutions, including NASA and the UW, to capture new high-resolution images. Posted June 23, the images include more than 16.5 million individual stars and provide the clearest look yet at M82’s , the flattened central hub that contains most of the galaxy’s stellar mass. That could help scientists understand how M82 formed and for how long it has been producing stars so prodigiously.

For more information, contact team member a UW research professor of astronomy, at benw1@uw.edu.

All images are included in NASA’s

New study maps pollution disparities by state and sector across almost 20 years

Air quality in the United States has improved markedly since the landmark Clean Air Act passed in 1970. However, the gains have not been equally shared: Today, communities of color and low-income communities are exposed to disproportionately more air pollution than the overall population. In in Science Advances, UW researchers created the first comprehensive map cataloging how air quality inequity has changed per state and economic sector from 2002 to 2019. The study confirmed that, despite improvements in overall air quality, pollution tends to be concentrated in Black, Hispanic and low-income communities. The findings include specific state-level opportunities for improvement across 11 sectors — for example, disparities in construction-related emissions in Florida increased significantly during the study period. The findings and resulting database could help policymakers across the country prioritize environmental justice projects.

For more information, contact senior author , UW professor of civil and environmental engineering at jdmarsh@uw.edu.

The other UW co-authors are , , and . A full list of co-authors is .��

Researchers observe ultrafast chemistry happening in real time

Molecules are not static. Instead, they are having little dance parties — their atoms wiggle and twist around in space. Occasionally, upon receiving a burst of energy, the bonds holding atoms together in a molecule can break and reform with the atoms in a different configuration. While the number of atoms stays the same, the orientation of these atoms determines a molecule’s chemical properties — an important part of its identity. In , a UW-led team witnessed firsthand, and for the first time, a molecule turning into its “alter ego.” The researchers observed a hydrogen atom, also known as a proton, jump to a new position by bonding to a different atom in the same molecule. This process, which happens within a few millionths of billionths of a second, is important for various fundamental processes, including photosynthesis, and when DNA acquires mutations. To understand why, and how, this happens so fast, the researchers developed a new tool that probes molecular structure on an ultrafast timescale. They were able to use this technology to detect how the molecule’s wiggles allowed the proton transfer to happen. These findings will help researchers test existing theories about these ultrafast chemical dynamics and develop new molecules for clean energy processes.

For more information, contact senior author , UW professor of chemistry, at mkhalil@uw.edu.������

Co-authors , and completed this work while at the UW. Funding information is .

Random events leave lasting signature on the atmospheric methane record, new study shows

Methane is a powerful greenhouse gas with a complicated life cycle. It’s released into the atmosphere by both natural and industrial processes, and there are multiple pathways by which it’s broken down. Recently, atmospheric methane levels have reached record highs but the rate of accumulation has been somewhat inconsistent over time. To understand why, researchers are looking at climate records preceding the industrial era, via ice cores. These deep cylinders of glacial ice document slow swings in atmospheric methane levels spanning decades, or even centuries. This pattern is typically associated with gradual climate change, but in , UW researchers show that it doesn’t have to be. Instead, they reveal that short-term, random events, such as fires or changes in wetlands, can spark gradual shifts. Not only does this clarify the historical record, but it also adds nuance to modern trends.

For more information, contact senior author , UW doctoral student of atmospheric and climate science at emei@uw.edu.

The other UW co-authors are and . A full list of co-authors is .

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Quantum materials are a class of exotic materials with special properties that are governed by rather than . Those properties — like , and unusual forms of magnetism — often originate in the tiny repeating patterns of atoms inside crystals, but through clever engineering they can be observed and controlled at a more human scale. Quantum materials are helping to power the quickly growing field of , and could find their way into future generations of energy-efficient electronics.��

Designing new materials from the atomic scale up, however, requires intense modeling and simulation. Some materials may appear ordinary when viewed as small clusters of atoms, yet reveal new and useful properties when their atomic building blocks repeat and interact over larger distances. Researchers must be able to accurately predict behaviors at large scales in order to find materials with practical applications — otherwise designing new materials is a slow and costly trial-and-error process.

In the past 50 years, supercomputers have helped materials scientists solve some of those thorny prediction problems, but two recent studies from the ������˾�� demonstrate how newer computing techniques can help researchers sniff out promising quantum materials to pursue. , published June 2 in the Proceedings of the National Academy of Sciences, shows how researchers can use artificial intelligence to simulate dozens of sheets of atoms stacked in intricate patterns, a process that produces complex and potentially useful quantum behaviors. , published June 8 in Nature Communications, shows how quantum computers can create a self-improving design loop by discovering new materials that could themselves be components of future quantum computers.��

“What is exciting is that AI and quantum computing are beginning to change not just what problems we can solve, but how we do research,” said , a UW associate professor of materials science and engineering and the senior author of both studies.

These two new tools — AI and quantum computing — are complementary in that they each excel at a different kind of simulation problem. With the right training, an AI model can act as a fast and relatively inexpensive surrogate of a supercomputer, extrapolating the behavior of huge material systems from a relatively small dataset. Cao and collaborators used this approach to stack virtual sheets of atoms on top of one another over and over — a process that created completely new phenomena that were absent on a smaller scale, but would have been impractical to model by traditional supercomputing. From there, researchers can try to make the most promising materials in the lab to prove out the simulations.

Quantum computers, on the other hand, are essentially powered by the same quantum phenomena — like entanglement — that Cao and other materials researchers want to study. Such phenomena can be difficult to simulate using traditional computers or AI systems, but quantum computers are naturally suited to the task. In the study, Cao and his team used a quantum computer to study an exotic phase of matter known as a .��

Moving forward, Cao and his team plan to further build out their datasets and eventually develop models that can simulate a much wider range of materials. They also hope to combine their AI and quantum computing systems into a more powerful and flexible hybrid tool.

“The next step is to bring these tools together,” Cao said. “We can use AI to guide quantum simulations, and quantum computers to generate new data and insights that improve AI models.”

“We are at the start of a new era,” said , UW professor and chair of materials science and engineering and co-author of both studies. “Our field is fundamentally changing. Things that were literally impossible a couple of years ago are now becoming routine. And we are only beginning to see what AI and quantum computing will make possible for quantum materials.”

was led by , a UW doctoral student of materials science and engineering. was led by , a UW doctoral student of physics. A complete list of authors is included with the studies.

The authors acknowledge the support of Amazon and the Department of Energy.

For more information, contact Cao at tingcao@uw.edu.

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Plants may not appear aggressive, but they can still defend themselves while under attack. When caterpillars chomp the leaves of bean plants, these plants release gases that lure predatory wasps. The wasps prey on the caterpillars, saving the plants from further destruction. In a paper , a UW-led team demonstrated that this defense strategy is run by a protein called INR, or inceptin receptor. The researchers grew bean plants with naturally occurring mutations in the INR gene alongside plants with functional INR in an experimental field in Oaxaca, Mexico. The knock-out plants didn’t emit gases and attracted far fewer wasps. This result helps explain a previous study by this team that first identified the biochemical pathway behind this defense mechanism. These results also showcase how the tiny actions of a single protein can affect the behavior of wasps and caterpillars, and in turn, protect the health of the plant. This could benefit nearby plants as well, the researchers said. Beans are often grown alongside “,” such as corn, with the idea that each plant provides a benefit for the others. Beans help make the soil richer for their companions, and, through the actions of INR, could also protect their neighbors from pests.

For more information, contact senior author , UW associate professor of biology, at astein10@uw.edu.����

The other UW co-authors are , , , and . A full list of co-authors and funding is included .

Decades of satellite data show Himalayan rivers migrating rapidly in response to climate change

The movement of rivers is often described in terms of flowing water, but the path a river takes can also change. Some migration is normal, but in the Himalayas, rivers seem to be scrambling faster than scientists anticipated. In a study , researchers show that rivers in the Tibetan Plateau moved twice as much from 2000 to 2020 as they did from 1980 to 2000. As glaciers melt and frozen ground thaws in response to rising temperatures, rivers are inundated with silty meltwater from surrounding glaciers. The water picks the path of least resistance through softening ground. The “movement” includes small lateral shifts, big swings that cut off entire sections of river and occasionally, . The international team attributes their observations to climate change, which is driving temperatures up faster here than many other places. More than 2 billion people rely on these rivers for fresh water and researchers are concerned about communities downstream, as well as the potential for similar patterns that may play out elsewhere.

For more information, contact co-author , UW professor of Earth and space sciences at bigdirt@uw.edu.����

A full list of co-authors and funding is .

Researchers shrink eye-catching structure down to the nano scale��

made using a network of freestanding bars suspended by a web of thin, tense cables. The organization of the bars and cables allows the network of tension and compression forces to lock everything into place, creating a lightweight yet stiff structure. Tensegrities of different sizes are common in nature — examples include and the that help living cells maintain their shape — as well as in diverse manmade structures like , and . Now, a team of engineers at the UW have found a way to create tensegrities as small as five micrometers across — roughly a tenth of the width of a human hair. in the aptly-named journal Small, researchers used a specialized and a resin compound to print bar-and-cable structures about 30 micrometers across. They then heated the materials to 900 degrees celsius, causing the structures to shrink by over 80%. As they shrank, the thinner cables constricted more than the bars, resulting in nanostructures with specific, locked-in levels of stress that were up to 250% stiffer than the starting structures. The team is now working on ways to build larger materials composed of tiny tensegrities, which could eventually usher in a new class of stiff, light and impact-resistant materials.

For more information, contact lead author , a UW doctoral student of mechanical engineering.

Other UW co-authors are , , Zainab S. Patel, , and . Funding information is included .��

Scientists find a key water source for atmospheric rivers

In December 2025, brought a seemingly endless onslaught of precipitation to Washington that caused and washed away roads and homes. In published in the Journal of Geophysical Research: Atmospheres, UW researchers help explain where all that water came from. They describe a link between the , a weather pattern that brings moisture east across the Pacific, and atmospheric rivers. Hypotheses about this connection have emerged from previous studies, but researchers couldn’t physically draw it until now. By tracking precipitation and wind patterns from 2000 to 2024, the UW researchers show that heavy rainfall and flooding are more likely when MJO is active, which happens several times a year. By identifying the MJO as a key moisture source for powerful atmospheric rivers, the researchers hope to improve forecast accuracy and give people more lead time to prepare for incoming storms.

For more information, contact co-author , UW professor of atmospheric and climate science at shuyic@uw.edu.

Other UW co-authors are and . Funding information is .

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Micropantries — commonly called “little free pantries”�� — and community fridges are a frequent sight throughout Seattle and the greater Puget Sound region. One estimate suggests that they supply around 4 million pounds of food per year to neighbors in need in the Seattle area, more than the state’s largest food bank. The curbside cupboards are a decentralized, community-driven effort to fight food insecurity and reduce food waste at the neighborhood level, but their ad hoc nature limits their dependability — users don’t know when food is available without repeatedly checking, and donors don’t know what foods are needed most.

Now, anyone who interacts with micropantries or community fridges in the Seattle area can try out an experimental app, made by ������˾�� researchers, that brings a suite of new features to the micropantry network. , maps many local pantries across the region. The app also gives each pantry an activity feed where users can share food they’ve donated, report on stock levels, add requests to a wish list, post photos and leave other notes. The research team also retrofitted some pantries with sensors that anonymously auto-report their usage and stock levels to the app in real time.

“This is an effort to document and quantify the phenomenon of micropantries,” said , a senior research scientist at the UW . “Lots of micropantries and community fridges popped up around the time of the COVID-19 pandemic, and I was curious about who uses them and how they are used.”

The team was cognizant of privacy concerns and designed the smart pantry tech accordingly.

“Putting cameras in the pantries could give us a lot of information about what specific foods are moving through the system, but that may also deter users who are concerned about privacy,” said , a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering who designed and built the sensor suite. “Instead, we settled on simpler sensors that measure weight and interactions like opening the door to measure stock levels while preserving everyone’s anonymity.”

The researchers hope that neighbors will find new ways to connect and help one another through these tools. A user might see that stock levels are low in a nearby pantry, for example, and decide to add some food. Another user might request certain foods to accommodate their dietary restrictions.��

The sensor-equipped pantries are a small subset of the dozens of pantries throughout Seattle, but in addition to providing some neighborhoods with enhanced food tracking, they will generate aggregate data that will help Dalla Chiara’s team study donor and usage behavior. Dalla Chiara also plans to survey donors to learn more about what motivates people to provide food to pantries.

“We know that there is a lot of food insecurity in Seattle and in the United States in general,” Dalla Chiara said. “But we know that there is also a lot of food waste — lots of people have a surplus of food. And we want to see how grassroots efforts like micropantries can address both food insecurity and waste at the same time.”

Dalla Chiara and his team recently completed a refit on a cold, sleeting March day at a pantry owned by Saint Paul’s Episcopal Church near Seattle Center. The church keeps the pantry regularly stocked, and rector Stephen Crippen is curious about the data the new system will produce.

“It puts numbers on what we’re actually accomplishing,” Crippen said. “It helps us get in touch with what’s going on on this street.”

The research team is also working with local businesses and nonprofits to encourage and track food distribution throughout the pantry network. In April, Seattle-based recycling startup ran a nonperishable food drive across Seattle and delivered 25,000 pounds of food to the ; from there, volunteers from the Cascade Bicycle Club’s distributed the food to micropantries around the city by bike, giving the network an infusion of both food and usage data. The and the nonprofit helped support the project’s community fridges effort.

Dalla Chiara recognizes that there are other grassroots online, and he doesn’t want his app to replace those services. Nor does he expect the smart pantry network to remain in service indefinitely — it costs about $150 to retrofit each pantry with sensors, and all that tech will be difficult to maintain after the study concludes in October of this year. At its core, the project is an effort to learn about micropantry usage and explore how technology might encourage sharing of resources and mutual aid systems.

“We’re trying to measure and quantify goodwill,” Dalla Chiara said. “Behind each little free pantry there is a whole system of behaviors — people trying to help one another. If we can understand that system better, we can support it better.”

Other UW collaborators include , professor of civil and environmental engineering and director of the Urban Freight Lab; , assistant teaching professor of environmental and occupational health sciences; , assistant professor of food systems, nutrition and health; and , assistant professor in the Allen School.

For more information, contact Dalla Chiara at giacomod@uw.edu.

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Discovery Days returns!

On April 30 and May 1, thousands of elementary and middle school students from across Washington state will arrive on the ������˾��’s Seattle campus to explore more than . Hosted by the UW College of Engineering, Discovery Days gives students a chance to experience science and engineering concepts for themselves by building batteries, designing videogames, firing air vortex cannons and controlling plasma with their fingertips.��

This year, more than 9,000 students from 109 schools registered to attend.

For more information, contact William Poor at wpoor@uw.edu.

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