How Stellar Activity Can Make a Star's Spectrum Mimic Low Gravity
A study of 23 late-M dwarfs links stronger magnetic activity to spectra that mimic low gravity, complicating stellar and planet readings.
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A Fruit Fly’s Wing May Shed Cells Like a Yielding Solid
A physics model of yielding solids may explain how pressure squeezes cells from a growing fruit-fly wing—and leaves a measurable pattern.
An AI Attack Trick Reveals What Particle-Physics Checks Can Miss
Borrowing adversarial attacks from machine learning, physicists reveal how tiny, plausible input shifts can unsettle collider-event classifiers.
A Robot’s Secure Messages Can Still Tell a Dangerous Lie
A robot arm passed as trustworthy while its sensor reports were falsified, exposing a gap between cybersecurity checks and physical reality.
Why a Trivial Equality Becomes a Giant Hub in Formal Math
A network-science map of Lean’s Mathlib finds proof dependencies diverge from subject labels—and basic equality rules become giant hubs.
How Alien Rocks Can Masquerade as Atmospheres in Starlight
Laboratory rock spectra may help JWST separate alien geology from atmosphere, opening a cautious new route to exoplanet surface science.
A Protein Can Host a Qubit—but Its Vibrations May Limit Sensing
A protein-hosted quantum spin sensor could map neural chemistry, but room-temperature vibrations and photon limits stand in the way.
The Mesh’s Hidden Skeleton Could Keep Physics Simulations Honest
A new theorem connects mesh topology to energy-stable neural physics, helping simulations learn geometry without relearning conservation.
How Seawater’s Chlorine Could Help Spot a Supernova’s Neutrinos
Chlorine dissolved in seawater may help deep-sea neutrino telescopes spot supernova antineutrinos, doubling their modeled discovery reach.
The Geometry Test That Asks Whether AI Found a New Material
A geometric fingerprint helps scientists audit AI-generated crystal databases—and shows why a different file is not always a different material.
How Titan’s Mountains May Explain Huygens’s Reversed Wind Profile
Titan’s terrain may explain why Huygens measured eastward winds near the ground, and offers clues about winds Dragonfly may encounter.
Can Control Theory Expose Optimization's Hidden Machinery?
A control-theory framework recasts optimization as guided motion, revealing how hidden states and carefully chosen steps can lead toward candidate solutions.
When Robot Skills Became Code, Biology Labs Got a New Tool
A robot kit and coding agent tackle wet-lab chores, revealing how adaptable software could help robotic skills travel between biology labs.
A Lab-Built Optical Nerve Lets a Robot Read Touch at a Distance
A soft sensor routes touch through 217 optical fibers to a remote camera, where simple image analysis locates and classifies contact.
A laser and microphone catch a daily rhythm inside a living plant
A laser, tiny air cavity, and microphone tracked a living plant for days, revealing a recurring physiological rhythm without identifying its molecular source.
The New Atmospheric 'Particle' That Could Rebuild a Cloud
Borrowing ideas from turbulence and emergence, a new model assembles cloud fields from scale-spanning pieces called turbulons.
The Statistical-Physics Clue Hidden in a Planet-Hunting Algorithm
A statistical-physics concept helps map hidden twists in astronomy’s data-fitting problems, from exoplanet wobbles to neutrino signals.
The Cosmic Anomaly Hunt That Only Works With Human Judgment
An AI tool helped surface a mysterious ring-shaped radio source, but the search reveals why astronomers—not algorithms alone—define what counts as strange.
How Radar Geometry Gives a Quantum AI Model a Head Start
A new quantum-machine-learning study uses radar geometry to guide classification of raw echoes when labeled examples are scarce.
The quantum shortcut to a cooler city may be a smaller question
Quantum computing may help cities sift high-stakes choices—from heat response to transport failures—without replacing proven planning tools.