Fysik & material

Researchers have developed a non-invasive way to monitor plasma during industrial coating processes, offering manufacturers real-time control over material properties. The method could reduce defects and waste in high-performance coatings used in electronics, aerospace, and energy applications.EN

Scientists have demonstrated the first electrical detection of spin textures in van der Waals magnets using graphene, opening a path to multi-state memory and neuromorphic processors that work without microscopes. The advance could accelerate commercialization of next-generation spintronic devices by enabling practical, integrated on-chip sensing and control.EN

An international search using LIGO, Virgo, and IceCube observatories found no joint signals of gravitational waves and high-energy neutrinos during 2019–2020 observations. The null result constrains theories about extreme cosmic events and sets new limits on how much energy compact object collisions release as neutrinos—shaping expectations for future detection capabilities.EN

A new paper reveals fundamental ambiguities in how scientists label and measure quantum effects in spacetime itself, potentially invalidating recent experiments proposed to detect gravitationally-induced entanglement. The finding matters because it could reshape how billions in quantum gravity research funding are allocated and which experimental approaches warrant investment.EN

Astronomers analyzing a nearby supernova discovered unexpected signs that the star ejected dense material into space years before detonating—a finding that reshapes models of stellar death and could improve predictions of future explosions. Understanding these pre-explosion processes matters for gravitational wave detection and for refining astrophysics simulations used across research institutions.EN

Astronomers analyzed a peculiar supernova that defies easy classification, revealing it may have erupted from a compact stellar remnant surrounded by recently shed material. The findings help refine models for predicting extreme stellar explosions, which inform space weather monitoring and our understanding of cosmic element creation.EN

Researchers using advanced X-ray spectroscopy discovered that proton sharing—a chemical behavior long debated in textbooks—occurs in only one of six common biological acids tested in water. The finding suggests enzymes may actively engineer molecular structures to enable proton sharing during metabolism, pointing to new targets for drug design and bioprocess optimization.EN

Scientists used an aurora-monitoring camera network to track a bright fireball over northern Sweden in February 2023, pinpointing where meteorite fragments likely landed. The technique demonstrates how existing infrastructure can be repurposed for planetary defense and asteroid detection—critical capabilities as space agencies worldwide race to catalog near-Earth threats.EN

Researchers have discovered that when quantum gases undergo phase transitions, the defects that form—vortices and domains—follow predictable mathematical patterns, despite appearing random. The finding could improve design of quantum computers and sensors by revealing how to control chaotic quantum systems at scale.EN

Physicists have identified a measurable way to distinguish between two competing theories of how light nuclei are created in extreme collision environments. The finding could resolve a long-standing debate in nuclear physics and improve models used to understand matter under extreme conditions—potentially informing materials science and energy research.EN

Researchers have solved a technical barrier that prevented widely-used diffusion models from being combined to simulate novel molecular behaviors. The breakthrough enables pharmaceutical and materials companies to repurpose existing AI models more effectively, potentially accelerating drug discovery and materials design without retraining from scratch.EN

Researchers have fundamentally reframed how liquid crystals boost battery performance, showing that ion movement depends on chemical composition rather than physical alignment. The finding could accelerate development of longer-lasting, safer batteries for electric vehicles and grid storage by shifting engineering focus away from costly alignment strategies.EN

Researchers have developed a machine-learning framework that dramatically reduces the amount of training data needed to simulate how light scatters off optical devices—a critical step in designing everything from solar panels to camera sensors. By embedding fundamental physics laws directly into neural networks, the method achieves reliable predictions with far less computational overhead, potentially accelerating product development cycles and lowering R&D costs across photonics and telecommunications industries.EN

Researchers discovered that a standard laboratory technique for analyzing the atomic structure of engineering alloys produces misleading results when materials have directional crystalline patterns—a condition that occurs during normal manufacturing. The finding could affect quality control processes and materials development across aerospace, automotive, and industrial manufacturing sectors.EN

Researchers have mapped exactly how cheap, lightweight metals like titanium and copper can manipulate magnetic properties as effectively as expensive heavy metals—opening a path to lower-cost, energy-efficient device manufacturing. The findings challenge assumptions about which material combinations work best, potentially reshaping design strategies for the magnetic storage and computing industries.EN

Researchers have engineered a graphene device that produces unusually large spin signals and acts like a diode for spin current—a critical step toward practical spintronic computing. The advance demonstrates room-temperature control of spin properties without magnetic materials, potentially enabling faster, more efficient data storage and processing.EN

Researchers used artificial intelligence to optimize extreme ultraviolet light sources created by firing lasers at plasma, achieving a tenfold increase in useful radiation. The advance could accelerate adoption of compact, high-speed imaging systems for materials research and industrial inspection that currently rely on expensive, building-sized facilities.EN

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Scientists have dramatically improved measurements of how electrons and ions collide at near-absolute-zero energies, a capability with direct applications in industrial plasma processing, fusion energy research, and semiconductor manufacturing. The breakthrough came through engineering upgrades that reduce measurement noise and tighten energy control to unprecedented levels.EN

Researchers used advanced X-ray techniques to observe chemical reactions on a material's surface during solar water-splitting, revealing how copper and cerium oxide interact to generate hydrogen. The atomic-level insights could accelerate development of cheaper, more efficient materials for industrial hydrogen production—a key decarbonization pathway for heavy manufacturing.EN

Researchers have developed the first systematic method to predict how fully ionized atoms decay through a rarely observed process called bound-state beta decay. The work could improve nuclear data used in medical imaging, power generation, and fundamental physics experiments—areas where precise atomic behavior predictions directly affect safety and accuracy.EN

Researchers modeling prebiotic chemistry found that molecular replicators growing at sub-exponential rates get crowded out by faster-growing competitors when resources concentrate. The discovery could reshape how scientists design synthetic biology experiments and understand early life chemistry, with implications for biotech screening and evolution modeling.EN

Researchers have detected rare molecular signals from aging stars that reveal previously invisible physical processes—findings that improve models for understanding stellar evolution and the origins of elements in space. The discovery demonstrates how advanced radio observations can unlock data about extreme cosmic environments, with implications for refining theories about matter transformation across the universe.EN

Astronomers recovered nearly all of a damaged satellite dataset using the Crab Pulsar as a natural clock, revealing clearer insights into high-energy radiation from space. The recovery method could help future space missions extract maximum value from flawed observations—important as imaging instruments become more sophisticated and costly.EN

Researchers have developed a method to pinpoint exactly where and when energy dissipates in far-from-equilibrium processes—from chemical reactions to biological systems. The technique combines machine learning with thermodynamic principles to extract this information directly from experimental data, potentially helping industries optimize processes and reduce losses.EN