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Why the intrinsic quantum effects of axion dark matter are completely undetectable

Dark matter is an elusive form of matter that almost never emits, absorbs or reflects light, while only weakly interacting with regular matter. These properties make it very difficult to detect using conventional experimental techniques and instruments.

Over the past decades, physicists have inferred the existence of dark matter indirectly, by probing its influence on the gravity of stars, galaxies and other cosmological objects. As it has never been directly observed before, the exact composition and nature of dark matter remain unknown.

A hypothetical dark matter particle is the axion, an ultralight particle that is predicted to be highly abundant in the universe. Most existing work describes axions as a classical field, a wave-like entity that resembles an electromagnetic field.

AI makes a major breakthrough in a math problem that had stumped experts for decades

For nearly 80 years, mathematicians have struggled to solve a classic geometry puzzle first posed by Paul Erdős in 1946: the planar unit distance problem. The question posed by the legendary Hungarian mathematician was, on the surface, deceptively simple.

It asks: if you take a piece of paper and add some dots, how many pairs can be exactly the same distance apart? Erdős himself proposed that the maximum number grows only slightly faster than the number of dots. Although many mathematicians agreed with him, no one could find a way to mathematically prove it.

Astronomers discover a super-Earth orbiting a nearby red dwarf

Astronomers from Italy and Brazil have investigated a nearby red dwarf star known as Ross 318 and have discovered an exoplanet orbiting this star, which is at least six times more massive than Earth. The discovery is reported in a research paper published May 11 on the arXiv preprint server.

Located just 28 light years away from Earth, Ross 318 (also known as Gliese 48, or TIC 379084450) is a red dwarf star of spectral type M3.5V. The star has an orbital period of approximately 51.5 days and an effective temperature of 3,450 K, and showcases strong magnetic activity, which poses a major challenge for exoplanet searches.

A team of astronomers led by Giuseppe Conzo from the amateur astronomy association Gruppo Astrofili Palidoro (GAP) decided to investigate Ross 318, hoping that amidst its magnetic activity, they could verify whether an alien world orbits this star. For this purpose, they conducted a systematic re-analysis of radial velocity (RV) data from the CARMENES spectrograph and decade-long High Resolution Echelle Spectrometer (HIRES) observations. Their study was complemented by data from the Transiting Exoplanet Survey Satellite (TESS).

Physicists figure out how to reduce formation of ‘viscous fingers’

When they reach the bottom of a soap dispenser, frugal handwashers might try adding water to the bottle to push out the last bit of soap. But usually, the water drills right through the soap and jets out an only slightly sudsy splash.

This happens because when you push a less viscous fluid like water into a more viscous fluid like soap in a confined space, the place where the two fluids meet can be unstable, and the runnier liquid might find a path of least resistance.

If you look very closely, you might see tiny protuberances form at the place where the fluids touch, in a phenomenon physicists call “viscous fingering.” In certain types of confined spaces, the fingers form a branching pattern.

Nickelate reveals nodeless gap, providing key clue to high-temperature superconductivity

The mechanism of high-temperature (TC) superconductivity is a key challenge in condensed matter physics. Recently, Chinese scientists made significant progress in the study of high-TC nickelate superconductors.

For the first time, scientists observed a nodeless superconducting gap and discovered electron-boson coupling by measuring the electronic structures of Ruddlesden-Popper bilayer nickelate superconducting thin films. These results provide crucial evidence for two fundamental issues in the mechanism of high-TC nickelates: “superconducting gap symmetry” and “superconducting pairing mechanism.”

This study, conducted by a team led by Prof. He Junfeng from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences, in collaboration with a team led by Prof. Xue Qikun and Prof. Chen Zhuoyu from the Southern University of Science and Technology (SUSTech), was published in Science.

Smartphones may soon be able to track hidden objects using LiDAR

Modern smartphones are packed with incredible technology, from high-resolution cameras and advanced graphics chips to AI processors. In premium models, this hardware includes LiDAR (light detection and ranging), which helps power augmented reality features and improve depth sensing.

And that capability could soon be in for a seriously impressive upgrade. Researchers at the Massachusetts Institute of Technology (MIT) have developed an algorithm that lets a phone’s LiDAR sensor detect objects hidden around corners. Details are in a paper published in the journal Nature.

Typically, this type of non-line-of-sight (NLOS) capability is found in labs and relies on bulky, expensive research-grade hardware. But the team’s breakthrough makes it possible for consumer LiDAR sensors to peek behind obstacles.

New framework helps robots turn complex language into precise 3D actions

Over the past few decades, roboticists worldwide have introduced increasingly advanced robots that can understand human instructions, move in their surroundings and reliably complete basic manual tasks. While they perform well in some scenarios, many of these robots still struggle to translate the instructions of users into precise and executable actions that would allow them to successfully complete desired tasks.

Recently, computer scientists have been trying to improve how robots respond to user commands or queries using vision-language models (VLMs), artificial intelligence (AI) systems trained to process both images and texts. These models can typically interpret basic requests such as “place the bottle onto the plate,” yet they often do not exhibit the spatial reasoning capabilities required to interpret more elaborate instructions and translate them into executable actions in real-world settings.

Researchers at the Chinese University of Hong Kong, the Zhejiang Humanoid Robot Innovation Center Co. Ltd and other institutes recently introduced Retrieval-Augmented Manipulation (RAM), a framework that could improve the ability of robots to connect abstract instructions with three-dimensional (3D) representations of the space around them. The new framework, presented in a Science Robotics paper, was found to improve the spatial reasoning capabilities of robots, allowing them to reliably follow more elaborate instructions, without requiring task-specific training.

‘Designer’ superconducting diamond: Researchers uncover path to multi-modality quantum chips

Diamond is extremely valuable to science and technology not for its sparkle but for its extreme hardness, high thermal conductivity, transparency to a large fraction of the light spectrum, and a host of other exceptional properties. Two decades ago, scientists discovered another advantage: under the right conditions, diamond can become a superconductor—allowing electricity to flow through it with zero resistance.

Until recently, though, they knew little about how that happens, limiting its use in high-tech applications.

Now researchers from the Pennsylvania State University, the University of Chicago Pritzker School of Molecular Engineering (PME), and the U.S. Department of Energy National Quantum Information Science Research Center Q-NEXT, led by Argonne National Laboratory, have uncovered new insights into the physics behind the phenomenon by carefully creating high-quality diamond, isolating electronic signatures from material noise, and revealing the fundamental mechanisms that had long remained hidden.

Novel porous gel changes color, shrinks and hardens when it detects target molecules

Researchers at Kyoto University and Tohoku University have developed a new porous polymer gel that selectively recognizes specific molecules (referred to as “guests” in the study) through coordination chemistry and converts these invisible molecular-scale interactions into strikingly visible, macroscale deformation.

The study demonstrates how subtle differences in molecular structure can directly alter the shape, color, and mechanical properties of a soft material, opening new possibilities for “smart” stimuli-responsive materials and molecularly programmable soft matter that can sense and react to its environment.

Molecular recognition is a central concept in supramolecular chemistry and biology, where molecules selectively interact through precisely arranged chemical interactions. While most artificial molecular recognition systems rely on noncovalent interactions such as hydrogen bonding, the present study instead exploits coordination interactions —a type of chemical “handshake”—between metal centers and electron-rich guest molecules.

Scientists generate electricity from ambient moisture using everyday ingredients

In a study published in Nano Energy, researchers from Queen Mary, the University of Warwick, Imperial College London, and Universitas Mercatorum report a highly stable, biodegradable Moisture-Electric Generator (MEG). The device is fabricated from food-grade materials including gelatin, sodium chloride (table salt), and activated carbon, and harnesses humidity—typically a major challenge for electronics—as its energy source.

This approach represents a significant shift in electronic design, transforming atmospheric moisture from a limitation into a functional energy input.

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