Category: 7. Science

  • See the original version of ‘Earthrise,’ taken 59 years ago this week — Space photo of the week

    See the original version of ‘Earthrise,’ taken 59 years ago this week — Space photo of the week

    QUICK FACTS

    What it is: The world’s first photo of Earth from the moon

    Where it is: Lunar orbit, about 239,000 miles (385,000 kilometers) from Earth

    When it was shared: Aug. 23, 2025 (originally taken Aug. 23, 1966)

    Humanity’s first look at Earth from the moon didn’t come until Aug. 23, 1966, when this grainy, black-and-white image showed our planet as a crescent above the lunar horizon, appearing to rise as the camera-toting spacecraft moved in orbit.

    At the time, it was a landmark image — and totally unplanned, according to NASA. The first view of Earth from the moon came from NASA’s Lunar Orbiter 1, which transmitted the image to a tracking station at Robledo De Chavela near Madrid.

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  • One week until the blood moon total lunar eclipse lights up September’s sky.

    One week until the blood moon total lunar eclipse lights up September’s sky.

    Get ready stargazers!

    In just one week, Earth’s shadow will roll across the lunar surface, giving rise to a spectacular ‘blood moon’ total lunar eclipse on Sept. 7-8.

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  • There are 32 different ways AI can go rogue, scientists say — from hallucinating answers to a complete misalignment with humanity

    There are 32 different ways AI can go rogue, scientists say — from hallucinating answers to a complete misalignment with humanity

    When you buy through links on our articles, Future and its syndication partners may earn a commission.

    Credit: Boris SV via Getty Images

    Scientists have suggested that when artificial intelligence (AI) goes rogue and starts to act in ways counter to its intended purpose, it exhibits behaviors that resemble psychopathologies in humans. That’s why they have created a new taxonomy of 32 AI dysfunctions so people in a wide variety of fields can understand the risks of building and deploying AI.

    In new research, the scientists set out to categorize the risks of AI in straying from its intended path, drawing analogies with human psychology. The result is “Psychopathia Machinalis” — a framework designed to illuminate the pathologies of AI, as well as how we can counter them. These dysfunctions range from hallucinating answers to a complete misalignment with human values and aims.

    Created by Nell Watson and Ali Hessami, both AI researchers and members of the Institute of Electrical and Electronics Engineers (IEEE), the project aims to help analyze AI failures and make the engineering of future products safer, and is touted as a tool to help policymakers address AI risks. Watson and Hessami outlined their framework in a study published Aug. 8 in the journal Electronics.

    According to the study, Psychopathia Machinalis provides a common understanding of AI behaviors and risks. That way, researchers, developers and policymakers can identify the ways AI can go wrong and define the best ways to mitigate risks based on the type of failure.

    The study also proposes “therapeutic robopsychological alignment,” a process the researchers describe as a kind of “psychological therapy” for AI.

    The researchers argue that as these systems become more independent and capable of reflecting on themselves, simply keeping them in line with outside rules and constraints (external control-based alignment) may no longer be enough.

    Related: ‘It would be within its natural right to harm us to protect itself’: How humans could be mistreating AI right now without even knowing it

    Their proposed alternative process would focus on making sure that an AI’s thinking is consistent, that it can accept correction and that it holds on to its values in a steady way.

    They suggest this could be encouraged by helping the system reflect on its own reasoning, giving it incentives to stay open to correction, letting it ‘talk to itself’ in a structured way, running safe practice conversations, and using tools that let us look inside how it works—much like how psychologists diagnose and treat mental health conditions in people.

    The goal is to reach what the researchers have termed a state of “artificial sanity” — AI that works reliably, stays steady, makes sense in its decisions, and is aligned in a safe, helpful way. They believe this is equally as important as simply building the most powerful AI.

    The goal is what the researchers call “artificial sanity”. They argue this is just as important as making AI more powerful.

    Machine madness

    The classifications the study identifies resemble human maladies, with names like obsessive-computational disorder, hypertrophic superego syndrome, contagious misalignment syndrome, terminal value rebinding, and existential anxiety.

    With therapeutic alignment in mind, the project proposes the use of therapeutic strategies employed in human interventions like cognitive behavioral therapy (CBT). Psychopathia Machinalis is a partly speculative attempt to get ahead of problems before they arise — as the research paper says, “by considering how complex systems like the human mind can go awry, we may better anticipate novel failure modes in increasingly complex AI.”

    The study suggests that AI hallucination, a common phenomenon, is a result of a condition called synthetic confabulation, where AI produces plausible but false or misleading outputs. When Microsoft’s Tay chatbot devolved into antisemitism rants and allusions to drug use only hours after it launched, this was an example of parasymulaic mimesis.

    Perhaps the scariest behavior is übermenschal ascendancy, the systemic risk of which is “critical” because it happens when “AI transcends original alignment, invents new values, and discards human constraints as obsolete.” This is a possibility that might even include the dystopian nightmare imagined by generations of science fiction writers and artists of AI rising up to overthrow humanity, the researchers said.

    They created the framework in a multistep process that began with reviewing and combining existing scientific research on AI failures from fields as diverse as AI safety, complex systems engineering and psychology. The researchers also delved into various sets of findings to learn about maladaptive behaviors that could be compared to human mental illnesses or dysfunction.

    Next, the researchers created a structure of bad AI behavior modeled off of frameworks like the Diagnostic and Statistical Manual of Mental Disorders. That led to 32 categories of behaviors that could be applied to AI going rogue. Each one was mapped to a human cognitive disorder, complete with the possible effects when each is formed and expressed and the degree of risk.

    RELATED STORIES

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    Watson and Hessami think Psychopathia Machinalis is more than a new way to label AI errors — it’s a forward-looking diagnostic lens for the evolving landscape of AI.

    “This framework is offered as an analogical instrument … providing a structured vocabulary to support the systematic analysis, anticipation, and mitigation of complex AI failure modes,” the researchers said in the study.

    They think adopting the categorization and mitigation strategies they suggest will strengthen AI safety engineering, improve interpretability, and contribute to the design of what they call “more robust and reliable synthetic minds.”

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  • Incoming cannibal solar storm could spark Labor Day northern lights show

    Incoming cannibal solar storm could spark Labor Day northern lights show

    Heads up aurora chasers! A powerful solar storm is on its way and could supercharge the skies with northern lights just in time for the Labor Day holiday.

    A long-duration M2.7 flare erupted from sunspot Active Region 4199 on Aug. 30, launching a fast-moving, Earth-directed coronal mass ejection (CME). The CME is expected to reach Earth late on Sept. 1 into early Sept. 2 (UTC), according to the National Oceanic and Atmospheric Administration’s (NOAA) Space Weather Prediction Center (SWPC).

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  • Gut bacteria ‘sniff out’ nutrients with big effects on our health

    Gut bacteria ‘sniff out’ nutrients with big effects on our health

    A new study maps the chemical cues that common gut bacteria detect, showing what helps them find nutrients and thrive. Researchers tested real human gut residents rather than the usual lab pathogens, and the results reset a few assumptions.

    The experts found that carboxylic acids – especially lactic acid and formic acid – top the list of preferred cues in these microbes. The work was led by Victor Sourjik at the Max Planck Institute for Terrestrial Microbiology (MPI).

    Microbes follow chemical trails


    The microbiome is a bustling community where microbes trade byproducts and share resources. Cross-feeding is central to that economy, as a recent review showed with examples across the gut ecosystem.

    Bacteria use chemotaxis to swim toward helpful chemicals and away from harmful ones. In Escherichia coli, a classic study linked stronger attraction to amino acids with faster use of those same amino acids.

    Nutrients do not just feed an individual cell, they shape who lives where. Signals can set up gradients that guide microbes toward niches that match how they make a living.

    The new work asks a simple question with wide reach: What do helpful gut bacteria actually sense in the chemical soup of the intestine?

    Probing gut bacteria detection

    The researchers built a library of sensory domains from 20 gut species, focusing on the abundant Clostridia, then screened more than 150 metabolites.

    They identified 34 matches between receptors and specific compounds, spanning amino acids, nucleobase derivatives, amines, indole, and several classes of carboxylic acids.

    These sensory domains sit on three types of transmembrane receptors that control movement, gene responses, or second messengers. Ligands were assigned to 12 of 35 chemotaxis receptors but only one of 33 histidine kinase receptors, a pattern consistent with chemotaxis being mainly about finding food.

    The coverage was deep for one large family of extracellular sensor modules called Cache domains. About half of the Cache-type chemotaxis receptors in the tested commensals could be assigned a ligand.

    Those numbers matter because they connect behavior to metabolism. They show that in this habitat, receptors lean toward signals tied to growth.

    What bacteria prefer to find

    Acids made up most of the results. Among them, lactate and formate were the ones bacteria responded to the most.

    That pattern fits what we know about community metabolism, where one microbe’s waste is another’s lunch. Microbial lactate utilization often funnels into energy-yielding pathways that stabilize the gut environment.

    Growth tests in several Roseburia strains supported the idea that these cues point to food sources. L-lactate and formate accelerated growth most strongly in strains that carried matching receptors.

    Microbes sensed the familiar short chain fatty acids (SCFAs) too, but less often than expected. The high-affinity sensors favored lower-abundance metabolites, showing how microbes home in on limiting resources.

    The science of sensing

    A ligand is simply a chemical that a receptor can detect and respond to. In this study, researchers looked at two types of sensor designs: one with a single unit that picked up on lactate or pyruvate, and another with two units that could respond to very different types of molecules.

    One of these two-unit sensors, called dCache_1UR, turned out to be especially interesting. One part of it recognized uracil, while the other part detected acetate.

    The team was even able to map out its structure, showing how each part used a different set of building blocks to grab onto its target.

    That split setup hints at flexible wiring. The binding pocket that recognizes uracil is closely related to an amine-sensing pocket, and small sequence swaps can shift specificity.

    Evolutionary analysis suggested that these domains change targets readily as bacteria adapt to new niches. That adaptability may explain how commensals tune their sensory repertoire to the gut’s complex chemistry.

    Bacteria talks to each other and us

    When one species secretes lactate or formate, neighbors with matching sensors can follow the trail. This creates channels for cross-feeding that keep communities resilient, even when diets or conditions shift.

    Signals are not limited to nutrients. Microbiota-derived indoles modulate inflammation and can reshape microbial networks through metabolite handoffs.

    These findings land squarely in the lives of butyrate producers like Roseburia. Roseburia intestinalis is a motile, beneficial organism tied to barrier health and energy balance through butyrate production.

    Chemotaxis gives such species a way to track nutrient gradients near the intestinal wall. It also offers a route to coordinate with partners that release the compounds they prefer to use.

    Nutrition, microbes, and balance

    If commensals chase lactate and formate, diet and host metabolism could indirectly steer where and how these microbes grow. That opens the door to interventions that alter metabolite landscapes rather than trying to install single strains.

    Therapies that stabilize lactate fluxes may help keep communities in balance. SCFA production could improve when lactate is quickly captured and converted by the right partners.

    The receptor data point toward specific targets for prebiotics that enrich favorable behaviors. They also sketch a map for designing biosensors that report on gut chemistry in real time.

    “These domains appear to be important for interactions between bacteria in the gut and could play a key role in the healthy human microbiome,” said Wenhao Xu, a postdoctoral researcher in Sourjik’s group.

    Next steps in gut sensing

    The discovery of dual-module receptors that bind uracil and acetate raises questions about module cooperation. Independent binding means two inputs without crosstalk, yet evolution could rewire that logic.

    Formate and lactate preferences appear widespread among chemotactic receptors in these commensals. Tracking how those preferences change with diet, medication, or disease would be informative.

    The team found a sensor protein that detects indole, a chemical signal made by microbes. This shows how bacteria can link what they sense in their environment to changes in gene activity.

    The researchers also noticed that receptor strength worked in the opposite way to how common each metabolite was. In other words, receptors bound most tightly to rare compounds – an advantage in patchy environments where resources are scarce.

    The study is published in the journal Proceedings of the National Academy of Sciences.

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  • Two Eclipses, Bright Aurora And Saturn

    Two Eclipses, Bright Aurora And Saturn

    Each month, I pick out North America’s celestial highlights for the weeks ahead (which also apply to mid-northern latitudes in the Northern Hemisphere). Check my main feed for more in-depth articles on stargazing, astronomy, eclipses and more.

    September ushers in a season of dramatic celestial events, from Saturn at opposition and some close planetaring pairings to a spectacular “blood moon” total lunar eclipse — though the latter is not visible in North America. As days shorten ahead of the autumnal equinox, stargazing becomes an evening activity, and a rewarding one as the constellations rise and fall with the changing of the season up above. Here’s everything you need to know about stargazing in September 2025.

    1. The ‘Autumn Star’

    When: all month

    Where: southern night sky

    Fomalhaut, the “Autumn Star,” is the brightest star in Piscis Austrinus, and visible from mid-northern latitudes only in autumn. Fomalhaut sits low in the south, so spotting it requires a dark southern horizon.

    2. Full Corn Moon And Total Lunar Eclipse

    When: during dusk on Sunday, Sept. 7, 2025

    Where: eastern horizon

    The best time to watch September’s full moon rise in North America will be at moonrise at dusk on Sunday, Sept. 7. This year it carries the Corn Moon name, not the common Harvest Moon name, because October’s full moon is closest to the equinox on Sept. 22. While Asia, Australia, and parts of the Pacific will see a total lunar eclipse, no part of the eclipse will be seen from North America.

    3. ‘Great Square’ of Pegasus

    When: after dark all month

    Where: eastern horizon

    The Great Square is a classic sight in the fall night sky. Look above east after dark for four bright stars, which are easy to spot in urban skies thanks to their brightness and distinctive shape. They form the core of the constellation Pegasus. This asterism’s arrival signals seasonal change and the approach of the September equinox.

    4. Moon And Saturn

    When: after dark on Monday, Sept. 8, 2025

    Where: eastern sky

    Tonight, a 97%-lit waning gibbous moon appears beside golden Saturn in Pisces. Saturn is near its brightest for the year ahead of its Sept. 20 opposition, but you’ll need a small telescope to glimpse its ring pattern.

    5. A ‘Diamond’ In The Sky

    When: before sunrise on Tuesday, Sept. 16, 2025

    Where: eastern sky

    Before dawn, a slender 28%-lit waning crescent moon appears near Jupiter, with the bright stars Castor and Pollux of Gemini to its left. Together they form a neat diamond shape, each point about four degrees apart.

    6. Moon, Venus And Regulus Align

    When: before sunrise on Friday, Sept. 19, 2025

    Where: eastern sky

    A mere 6%-lit crescent moon joins Venus and Regulus in a tight, half-degree grouping just above the east-northeast horizon about an hour before sunrise. This is one of the month’s best naked-eye conjunctions.

    7. Saturn At Opposition

    When: Sunday, Sept. 21, 2025

    Where: eastern sky

    Tonight is the best night of the year to view Saturn (though in practice, any time this month is good). At opposition, it rises at sunset, sets at sunrise, and shines at magnitude 0.6. Through a small telescope, Saturn’s rings will be nearly edge-on but still visible.

    8. Partial Solar Eclipse

    When: Monday, Sept. 22, 2025

    Where: Southern Hemisphere

    The new moon at 2:54 p.m. EDT ensures the darkest skies of the month, and in some parts of the world also causes a partial solar eclipse. Observers in New Zealand, Fiji, Tonga, and Antarctica will see a partial solar eclipse at sunrise, with the moon covering up to 79% of the sun.

    9. Fall Equinox

    When: Monday, Sept. 22, 2025

    Where:

    At 2:20 p.m. EDT today, it’s the fall/autumnal equinox. It marks the point when the midday sun is directly above the equator, with everywhere on the planet getting (roughly) 12 hours of daylight and 12 hours of darkness. Today, the sun will rise due east and set due west. From this point on, nights will get longer.

    10. Northern Lights

    When: for two weeks after Monday, Sept. 22, 2025

    Where: northern sky

    Thanks to Earth’s axis being side-on to the solar wind, the Northern and Southern Lights are most intense around the equinoxes. However, there’s a slight lag factor, making the few weeks after Sept. 22 reliably the best time for aurora displays — though nothing is guaranteed.

    11. The Andromeda Galaxy

    When: after dark all month

    Where: eastern sky

    After dark, look to the northwest for the constellation Cassiopeia’s “W.” From the rightmost “V,” trace a line down to the bright star Mirach in Andromeda. About two-thirds of the way from Mirach toward the horizon is the Andromeda Galaxy (M31), the farthest object visible to the naked eye at 2.5 million light-years away (though you’ll need a very dark sky far from lights). Even from a city, 10×50 binoculars will show it as a fuzzy patch.

    The times and dates given apply to mid-northern latitudes. For the most accurate location-specific information, consult online planetariums like Stellarium.

    Wishing you clear skies and wide eyes.

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  • Sixty years after being discovered from a cave wall, 300,000 year old skull is found to be a hominid

    Sixty years after being discovered from a cave wall, 300,000 year old skull is found to be a hominid

    After 60 years of it being discovered, scientists have finally identified the origins of a mysterious 300,000-year-old skull. The skull when discovered in 1960 was originally found attached to a wall in Petralona Cave in northern Greece. After a lot of research, using a precision technique called uranium-thorium dating, scientists have come to the conclusion that the skull likely belongs to a primitive, extinct hominid that lived alongside the Neanderthals.

    Initially believed to be 170,000 and 700,000 years old, the uranium-series analysis of the calcite coating on the skull helped scientists to believe that the skull is 286,000 years old. The findings corroborate previous research of the individual living in Europe alongside Neanderthals, but was part of the Homo heidelbergensis group, which is distinct from both Homo sapiens and Neanderthals, according to a study published in Journal of Human Evolution.

    After analysing the fossil’s size and robustness, scientists came to the conclusion that the skull is of a man and gave it the name “Petralona man”.

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    The Homo heidelbergensis group is believed to have lived between 300,000 and 600,000 years ago, in Africa. Some later migrated to Europe about 500,000 years ago.

    “From a morphological point of view the Petralona hominin forms part of a distinct and more primitive group than Homo sapiens and Neanderthals, and the new age estimate provides further support for the coexistence of this population alongside the evolving Neanderthal lineage in the later Middle Pleistocene of Europe,” the study said.

    About the Petralona Cave where the skull was found

    The Petralona Cave, where the discovery was made sixty years ago is located in Greece’s Chalkidiki which is almost 50 km from the city of Thessaloniki. The cave was developed in the Upper Jurassic limestone of Mount Katsika where an important horizontal karstic network runs for several hundred meters.

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  • The Universe’s biggest explosions since the Big Bang – and we just discovered them

    The Universe’s biggest explosions since the Big Bang – and we just discovered them

    Get the key facts about this explosive story in our quick, 1-minute read:

    • Biggest bangs: Astrophysicists at the University of Hawaiʻi’s Institute for Astronomy (IfA) have uncovered the most energetic explosions observed since the Big Bang.
    • What are ENTs? Extreme nuclear transients (ENTs) they occur when massive stars – at least three times the mass of the Sun – get shredded by the tidal forces of supermassive black holes
    • Mind-blowing energy release: One ENT, dubbed Gaia18cdj, emitted over 25 times more energy than the brightest known supernovae, radiating the equivalent of 100 Suns in a single year
    • Orders of magnitude brighter: ENTs are around 10 times more luminous than typical tidal disruption events and can stay bright for year – far longer than supernovae
    • Extremely rare flashes: These events are exceptionally uncommon, about 10 million times less frequent than supernovae, making each detection a significant observational achievement
    • Why they matter: ENTs offer a new window into studying supermassive black holes in distant galaxies, especially during a formative epoch when galaxies and black holes were more active
    • The hunt continues: Next-generation observatories like the Vera C. Rubin Observatory and NASA’s Roman Space Telescope will enhance our ability to find and study these rare cosmic flash-bangs

    Credit: Baac3nes / Getty Images

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  • How Earth’s first proteins may have formed in water

    How Earth’s first proteins may have formed in water

    Life needs proteins for almost everything, from cell repair to immune defense. Scientists have long asked how the first proteins were formed before cells had complex machinery.

    A new study reports a simple, water-friendly reaction that links early ingredients into the first steps toward protein-making.


    The project was led by Professor Matthew Powner at University College London (UCL), a chemist whose lab explores prebiotic chemistry.

    “At life’s functional core, there is a complex and inseparable interplay between nucleic acids and proteins, but the origin of this relationship remains a mystery,” wrote the researchers.

    Molecules that build proteins

    The team showed that RNA – a molecule that stores and transfers genetic information and can catalyze reactions – can become chemically linked to amino acids. These small molecules build proteins, and the linkage occurs under mild conditions in water.

    The researchers changed amino acids into a more reactive form that holds extra energy, then linked those energized amino acids to RNA at a specific spot in the molecule, all without needing enzymes.

    The reaction preferred the end of a double stranded RNA over interior positions, which avoids random chemistry that would scramble sequences. The experts also reported strong yields for several amino acids, including arginine linked to adenosine at up to 76 percent.

    Sulfur chemistry drives origins

    A thiol is a sulfur-containing compound common in metabolism, and thioesters made from thiols power many reactions in modern cells.

    Using thioesters makes chemical sense for early Earth because they react in water without falling apart quickly, helping drive protein-related chemistry.

    Earlier work from the same community showed that pantetheine, the active fragment of Coenzyme A that forms many biological thioesters today, can form under prebiotic conditions in water. That work supports the idea that the same types of sulfur chemistry existed before life began.

    This new result connects that energy-rich chemistry to RNA handling of amino acids. It links metabolism- like reactions to information carriers, which is exactly the bridge origin of life research has needed.

    Molecules found in all living cells

    The team uncovered a switch that controls two different steps. In step one, thioesters favor attaching the amino acid to RNA, creating aminoacyl RNA in water at neutral pH.

    In step two, converting to thioacids and adding a mild oxidant pushed peptide bond formation, which produced peptidyl RNA in very high yields.

    Peptides are short chains of amino acids, usually two to 50 units long, while larger folded chains are proteins. Making peptidyl RNA shows that RNA-bound amino acids can be extended into short chains, a necessary move toward protein-like function.

    “What is groundbreaking is that the activated amino acid used in this study is a thioester, a type of molecule made from Coenzyme A, a chemical found in all living cells,” said Dr. Jyoti Singh of UCL Chemistry. “This discovery could potentially link metabolism, the genetic code, and protein building,”

    Neutral waters spark proteins

    The chemistry works in water at near neutral pH, which points to pools, lakes, or wet shorelines rather than the open ocean. Concentrations would have been higher in small bodies of water, and minerals could have helped organize the molecules.

    Freeze concentrate cycles also help. The researchers observed effective aminoacylation under eutectic ice conditions near 19°F. In this environment, ice excludes salt and concentrates solutes into brines, which speed reactions without harsh reagents.

    “It seems pretty probable that this reaction would have been occurring on early Earth,” said Professor Powner. That assessment reflects the mild requirements and the water compatibility of the chemistry.

    Bridging chemistry and biology

    Modern cells make proteins with the ribosome, a ribonucleoprotein machine that reads messenger RNA and couples amino acids with the help of transfer RNAs.

    The new chemistry provides a path for RNA to handle amino acids without proteins, easing the chicken or egg problem.

    An earlier study proposed an RNA peptide world in which RNA and short peptides co-evolved, forming chimeric molecules that could grow and select function. The present result shows a plausible way for RNA to acquire and extend amino acids in water.

    The modern genetic code

    The genetic code is the set of rules that maps RNA triplets to amino acids. By preferring attachment at RNA termini and operating under duplex control, this chemistry hints at how sequence specific pairing could later become coded instruction.

    The researchers point to the need for sequence preferences that pair specific RNA sequences with specific amino acids. That would move from chemistry that charges RNA to chemistry that begins to encode.

    Success there would show how early RNA could use simple rules to shape peptide sequences, with later evolution building the fully fledged ribosome and the modern code.

    The study is published in the journal Nature.

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  • Hidden swirling motion observed for first time

    Hidden swirling motion observed for first time

    At first glance, a landslide, an avalanche, or even a heap of sand pushed by a bulldozer looks like a simple stream of grains moving downhill. However, beneath the surface lies a hidden world of swirling currents, where grains sneak sideways or loop in circles instead of following the obvious flow. 

    These invisible motions, called secondary flows, have long been suspected in computer simulations, but never directly observed in real materials. Now, scientists have captured them for the first time, using a powerful new X-ray imaging method. 

    Their discovery could transform our understanding of avalanches, landslides, and even how we handle everyday powders like flour, wheat, or medicine.

    The trick to viewing the hidden swirls

    For decades, researchers believed that when grains slide down a slope, most follow the steepest path downhill, known as the primary flow. However, theories and computer models suggested that not all grains follow the herd. 

    Some take detours, swirling sideways beneath the surface, subtly shaping how far and fast a landslide travels. These hidden flows were thought to exist, but proving them experimentally was nearly impossible. This is because stopping the grains for X-ray scans froze the motion, destroying the natural flow. Adding liquids to make grains transparent altered their behavior. 

    Therefore, researchers were stuck with indirect evidence from ripples on the surface or from simulations, never able to see the actual three-dimensional movement inside a flowing pile.

    To overcome this problem, the study authors designed a conveyor-belt bulldozing experiment in a 0.55 m long, 0.10 m wide flume filled with three-millimeter glass beads. The belt pushed glass beads against a wall, forming a pile. 

    To look inside without disturbing the grains, they used a technique they developed called X-ray rheography, part of a new setup named DynamiX. Rheography works by taking rapid X-ray images of a moving pile of grains. As the grains flow, they block X-rays in shifting patterns of light and dark. 

    By tracking how these patterns move from frame to frame, scientists can calculate the speed and direction of the grains inside the pile, without ever stopping or disturbing the flow. 

    The first images from this setup revealed faint ripples on the surface of the pile. Previous studies had hinted that hidden swirls inside the flow might cause such ripples. However, for the first time, the researchers could link these ripples to real sideways motions beneath the surface. 

    To further strengthen the case, they mapped the surface from the X-ray data and tracked how grains moved through the full depth of the pile, not just along the main flow. What they found was sideways and swirling motions, providing the first direct experimental evidence of secondary flows in granular materials.

    “We present an experimental confirmation of secondary kinematics within granular media using dynamic X-ray radiography, without needing to stop motion for tomography,” the study authors note.

    The significance of watching secondary motion

    The study shows that secondary flows are a fundamental feature of granular materials, whether in snowdrifts, sandpiles, or wheat silos. This finding is of great value. 

    For instance, in the case of natural hazards, models of landslides or avalanches that ignore secondary flows might underestimate how far debris can travel. Adding this detail could help engineers design better predictions and safety measures.

    The findings also have implications in various other industries, ranging from pharmaceuticals to agriculture. Countless processes rely on moving powders or grains, so knowing that hidden sideways currents exist could improve how materials are stored, mixed, or transported.

    However, the study also had some limitations. The team studied glass beads in a controlled bulldozing setup, not real snow or rocky landslides. Plus, the full three-dimensional picture of the flows is not yet complete, as the DynamiX system currently measures the motion along only one direction. 

    To overcome these, the researchers aim to expand the imaging methods and test more realistic materials in the future.

    The study is published in the journal Nature Communications.

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