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Search results for “Particle Physics”

1,000+ results for "Particle Physics"

Hunting for the axion with a huge magnet

The €6 million 'BabyIAXO' magnet system at the University of Bonn will search for the axion, a particle that could explain a long-standing problem in the Standard Model of particle physics. The project's success would provide proof of the axion's existence and solve the 'strong CP problem'.

Researchers expand simulation tool to help design the next generation of photonic and quantum devices

A new computational approach extends the Particle-in-Cell method with condensed-matter physics, enabling researchers to simulate a broader range of light–matter interactions in metals, semiconductors, and emerging quantum materials. This allows for more realistic predictions and optimizations in next-generation semiconductor and photon...

SourceSingapore University of Technology and Design·JournalComputer Physics Communications·DateJul 21, 2026

Surfactant-free hydrothermal synthesis of size-tunable monodisperse spherical CeO₂ abrasives for ultra-smooth silicon wafer CMP planarization

Scientists have developed a simple, surfactant-free hydrothermal synthesis strategy to create spherical CeO₂ abrasives with controllable particle sizes. The resulting abrasives achieved superior surface finishes and material removal rates in chemical mechanical polishing (CMP) tests, outperforming commercial products.

SourceHigher Education Press·JournalENGINEERING Chemical Engineering·TypeExperimental study·DateJul 16, 2026

ZnCuS-decorated cellulose–chitosan sponge achieves efficient levofloxacin removal via adsorption–photocatalytic synergy

Scientists have created a sponge-like material that efficiently removes levofloxacin through a combination of adsorption and photocatalytic reactions. The material, decorated with spherical CeO₂ particles, achieves superior surface finishes and material removal rates in chemical mechanical polishing applications.

SourceHigher Education Press·JournalENGINEERING Chemical Engineering·TypeExperimental study·DateJul 12, 2026

AI system developed by UC Irvine physicists helps explain why neutrinos have mass

Physicists at UC Irvine have developed an AI system called Autonomous Model Builder that can autonomously design theoretical physics models, helping identify promising new explanations for the behavior of neutrinos. The system uses reinforcement learning and is designed to assist human physicists in narrowing down vast theory spaces.

SourceUniversity of California - Irvine·JournalCommunications Physics·TypeComputational simulation/modeling·DateJul 9, 2026

The ionic path to all-solid-state batteries

Researchers at Osaka Metropolitan University have discovered that varying particle sizes in solid electrolytes reduces tortuosity and enhances ion transport pathways, leading to improved battery performance. This breakthrough could significantly enhance the charging and discharging capabilities of electric vehicles.

SourceOsaka Metropolitan University·JournalJournal of Energy Storage·TypeExperimental study·DateMay 13, 2026

Ultrahigh-energy cosmic messengers may carry ultraheavy secrets

Research suggests that some ultrahigh-energy cosmic rays could consist of atomic nuclei heavier than iron, losing energy more slowly as they travel through intergalactic space. This finding could help narrow down the possible sources of these particles and impact how we search for their origins.

SourcePenn State·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateMay 7, 2026

LHAASO discovers new extreme particle accelerator in the Milky Way

The LHAASO collaboration has detected ultra-high-energy (UHE) gamma rays from a gamma-ray binary system, LS I +61° 303. The discovery suggests that high-energy protons are accelerated and collide with the dense surrounding stellar wind, producing these UHE gamma rays. This finding provides critical evidence for gamma-ray binaries as po...

SourceChinese Academy of Sciences Headquarters·JournalPhysical Review Letters·DateApr 30, 2026

Neutrinos caught on camera

A new detector technology has been developed to track elementary particles in large volumes of unsegmented scintillator material. The system uses a plenoptic camera and single-photon avalanche diode array sensors to achieve high-resolution 3D tracking, even in photon-starved conditions.

SourceETH Zurich·JournalNature Communications·DateApr 24, 2026

Experimental evidence shows how photons spread across multiple paths in an interferometer

Researchers at Hiroshima University have developed a new experimental method to demonstrate the physical delocalization of individual photons in an interferometer. The study challenges traditional interpretations of quantum mechanics and has significant implications for high-tech sensors and our understanding of reality.

SourceHiroshima University·JournalNew Journal of Physics·TypeExperimental study·DateMar 26, 2026

Biochar particle size found to shape disease control in crops

Researchers found that the particle size of biochar impacts its effectiveness in controlling soil-borne diseases, with fine biochar acting quickly but losing effectiveness over time. Coarse biochar, on the other hand, provides a slower yet more sustained protective effect by releasing nutrients and organic compounds into the soil.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeExperimental study·DateMar 19, 2026

How fast does smoke rise, rain fall, and a supernova explode?

Researchers at OIST and University of Turin developed a general formulation for mixing heavy particles with fluid, enabling study of fundamental physics phenomena and applied research in fluid engineering. Simulations reveal the formation of sediment plumes and the role of friction in particle interactions.

SourceOkinawa Institute of Science and Technology (OIST) Graduate University·JournalPhysical Review Letters·TypeComputational simulation/modeling·DateMar 11, 2026

Researchers reveal distinct roles of NO₂ versus NO and synergisms with SO₂ on β-Myrcene photooxidation

A study published in Environmental Science & Technology reveals distinct roles of NO2 versus NO in β-myrcene photooxidation and their synergistic interactions with SO2. NO2 enhances SOA yield and increases oxygen-to-carbon ratio, while NO suppresses particle nucleation and promotes particle growth.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalEnvironmental Science & Technology·TypeCommentary/editorial·DateMar 11, 2026

How does snow gather on a roof?

Researchers developed a model to calculate snow accumulation on roofs, considering snowflake size and distribution. Larger snow particles lead to greater accumulation, while higher wind speeds reduce depth. The study provides insights for building codes and guidelines for snow loading.

SourceAmerican Institute of Physics·JournalPhysics of Fluids·DateMar 10, 2026

The ultra-high-energy neutrino may have begun its journey in blazars

A new study suggests that the ultra-high-energy neutrino may have originated from a population of blazars, which could provide a plausible explanation for the rare phenomenon. The researchers used a combination of simulations and observations from various instruments to test their hypothesis.

SourceSissa Medialab·JournalJournal of Cosmology and Astroparticle Physics·TypeData/statistical analysis·DateMar 9, 2026

Did we just see a black hole explode? Physicists at UMass Amherst think so—and it could explain (almost) everything

A team of physicists at UMass Amherst has proposed a new model for black holes, the 'dark charge' model, which explains high-energy neutrinos and solves cosmic mysteries. The model suggests that quasi-extremal primordial black holes, with a 'dark charge,' could be the missing link in explaining the universe's fundamental nature.

SourceUniversity of Massachusetts Amherst·JournalPhysical Review Letters·DateFeb 3, 2026

Novel radiation therapy QA method: Monte Carlo simulation meets deep learning for fast, accurate epid transmission dose generation

A novel radiation therapy QA method has been developed by combining Monte Carlo simulation with deep learning to generate patient-specific dose verification. This integrated technology accelerates quality assurance and paves the way for efficient online adaptive radiation therapy.

SourceNuclear Science and Techniques·JournalNuclear Science and Techniques·TypeComputational simulation/modeling·DateJan 31, 2026

MANA scientists enable near-frictionless motion of pico- to nanoliter droplets with liquid-repellent particle coating

Researchers at Materials Nanoarchitectonics (MANA) propose a novel strategy for controlling tiny droplets on surfaces, reducing friction and enabling precise control. The study demonstrates that particle-coated droplets can move with reduced force, opening new avenues in micro-scale systems and applications.

Heidelberg physicists bridge worlds of quantum matter

Researchers at Heidelberg University developed a new theoretical framework that connects two fundamental domains of modern quantum physics, describing the emergence of quasiparticles in systems with both mobile and static impurities. The new theory explains how quasiparticles form even in systems with extremely heavy impurities.

SourceHeidelberg University·JournalPhysical Review Letters·DateJan 20, 2026

Quantum physics: new state of matter discovered

Scientists have found a way to describe topological states in materials where the particle picture breaks down. The discovery sheds light on a new type of behavior, exhibiting spontaneous Hall effect and quantum-critical fluctuations. This finding opens up possibilities for storing quantum information and developing novel sensors.

SourceVienna University of Technology·JournalNature Physics·TypeExperimental study·DateJan 14, 2026

Beyond small data limitations: Transfer learning-enabled framework for predicting mechanical properties of aluminum matrix composites

Researchers developed a transfer learning-enabled framework to predict mechanical properties of particle-reinforced aluminum matrix composites. The model achieves high predictive accuracy, addressing the challenges of limited data availability in traditional machine learning algorithms.

SourceSongshan Lake Materials Laboratory·JournalMaterials Futures·DateDec 16, 2025

Scientists create stable, switchable vortex knots inside liquid crystals

Researchers created particle-like vortex knots in chiral nematic liquid crystals and discovered they can be reversibly switched between different knotted forms using electric pulses. The study provides a physical testbed for mathematical ideas, opening possible new routes toward knot-based electro-optic and photonic technologies.