The discovery of Cygnus X-3 reveals it as the most powerful particle accelerator known to date, producing photons with energies up to 30 PeV. The precise temporal variability and high gamma-ray energies measured by LHAASO confirm its status as a source of cosmic rays.
Physicists have devised an innovative way to deduce the details of hidden particles at high energies by analyzing effective field theory coefficients. This approach provides a potential pathway for discovering new laws of physics and overcomes limitations of experimental research.
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...
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.
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.
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.
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...
The NRL Plasma Physics Division has advanced understanding of plasma, supporting technologies critical to national defense, space science, and advanced materials. Researchers have developed novel concepts for detecting and removing space debris, as well as technologies for high-energy density physics and pulsed power.
High-speed particles bounce higher on wet walls due to a morphological transition in the post-collision liquid film, which shifts from a bridge to a dome shape. This phenomenon is crucial for predicting high-speed particle collisions and designing safer equipment.
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.
The LHAASO discovery reveals an astonishingly efficient particle accelerator powered by PSR J1849-0001, exceeding theoretical limits and challenging current theories of particle acceleration. The system's gamma-ray luminosity is several times higher than that of the Crab Nebula.
Researchers at Penn State have made precise calculations, showing that a discrepancy in particle physics was a fluke, not nature. The study strengthens confidence in the Standard Model to 11 decimal places, ruling out new forces or quantum objects.
The ORNL team is developing AI-enabled pixel detectors that can process massive data streams directly at the source. Spiking neural networks will be used to identify patterns and extract valuable signatures from particle interactions in real time.
A team of physicists has confirmed the mass of the fundamental W boson particle using an ultra-precise measurement, reaffirming the Standard Model's predictions. The new measurement is based on over 1 billion proton-colliding events produced by the Large Hadron Collider and is in line with previous experiments.
Researchers have observed evidence of a new type of mesic nucleus, which could provide insight into the vacuum structure and mass generation mechanism. The discovery was made using a high-precision experiment at the GSI Helmholtzzentrum für Schwerionenforschung, Germany.
The University of Michigan's new solar particle forecasting technology has been integrated into NASA's Artemis II mission to provide situational awareness of impending harmful radiation released during solar flares and eruptions. The machine-learning model uses satellite images of the sun and corona to forecast solar particle storms up...
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.
Tsinghua University's Department of Physics is celebrating its 100th anniversary with a series of events and publications. Researchers will gather in Beijing to explore quantum science, artificial intelligence, and computational physics.
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.
Scientists from the University of Manchester led the discovery of the new Ξcc+- (Xi-cc-plus) particle, a heavy proton-like particle containing two charm quarks and one down quark. The particle was identified using the upgraded LHCb detector and has a mass of 3619.97 MeV/c².
Charles Thorn has made significant contributions to the field of theoretical physics, including the development of string theory and the no-ghost theorem. He was awarded the 2026 Dannie Heineman Prize for Mathematical Physics for his fundamental contributions to elementary particle physics.
Tova Holmes and Larry Lee will work on the CMS upgrade and search for new particles at Fermilab, while also promoting the laboratory's Distinguished Researcher program. They aim to strengthen connections between the university and the national lab, bringing students and postdocs to the lab for hands-on learning opportunities.
Researchers have confirmed the Standard Model of particle physics with unprecedented accuracy, solving the proton radius puzzle and verifying predictions up to the 13th decimal place. The new results set a new benchmark in measuring the energy levels of hydrogen atoms.
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.
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.
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.
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.
Physicists have developed a more accurate method for estimating the impact of calculations that are not performed in high-energy particle collisions. The new approach uses perturbative calculations to reduce uncertainties present in previous simulations.
The SimTac simulator accurately models biomorphic sensors using particle-based deformation, light-field rendering, and neural network prediction. It achieves high performance in optical and mechanical response accuracy, adaptability to diverse morphologies, and simulation efficiency.
The University of Bath has been welcomed as a full member of the CMS Collaboration at CERN, gaining access to latest data, facilities, and computing infrastructure. The partnership strengthens the university's research impact in particle physics, enabling advancements in detector upgrades and cooling systems.
The Interactions Collaboration has selected top three photographs from hundreds of submissions by amateur and professional photographers worldwide. Marco Donghia's image of a researcher at the CryOgenic Laboratory for Detectors was chosen as first place, praised for its clear storytelling and masterful use of light.
The University of Texas at Arlington has launched the Center for Space Physics and Data Science, expanding undergraduate and graduate degree programs in space physics and data science. The center will train students across six focus areas, preparing them for careers in the rapidly growing space industry.
The American Physical Society's Global Physics Summit will feature over 10,000 individual presentations on new research in astrophysics and particle physics. Attendees can book discounted hotel rates near the Colorado Convention Center until February 12 to receive a discount.
A high-radiation-tolerance GaN detector was fabricated to enable real-time two-dimensional position detection of individual alpha particles and xenon heavy ions. The detector exhibited stable operation at radiation levels significantly higher than those tolerated by conventional Si-based detectors.
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.
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.
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.
Quantum field theories are the foundation of modern physics, but their complex nature makes them difficult to simulate on a computer. A team of researchers has developed an AI solution that can parameterize the action in these theories on a lattice, enabling more efficient simulations.
Researchers at the University of Plymouth have discovered a method to increase muon lifetime using intense laser pulses. By applying quantum interference principles, they aim to develop new scientific facilities that utilize muons instead of electrons.
Jessica Eskew, a PhD student in Auburn Physics, has been awarded a highly competitive SCGSR Fellowship to conduct fusion energy research at DIII-D. Her research focuses on runaway electrons, which can damage fusion devices if uncontrolled. Eskew will collaborate with experts in energetic particle physics and plasma control.
Researchers found high levels of polycyclic aromatic hydrocarbons in recycled tire rubber granulate, linked to cancer and environmental harm. Fine particle sizes released more toxins into water and soil, increasing ecosystem risk.
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.
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.
Researchers at the University of Cincinnati have solved a long-standing problem in particle physics, using fusion reactors to produce subatomic particles called axions. This breakthrough has implications for understanding dark matter, which is thought to make up most of the universe's mass.
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.
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.
Researchers at TUM have discovered that deuterons and antideuterons are formed through the decay of highly energetic particle states, releasing protons and neutrons necessary for their formation. This finding improves models of particle formation and could provide clues about dark matter.
The MicroBooNE collaboration has ruled out the possibility of a light sterile neutrino, a hypothetical particle that had long been speculated as a solution to open questions in particle physics. This result narrows the field of possibilities for explaining one of today's biggest puzzles in neutrino physics.
A team of scientists from Rutgers University has debunked a decades-old theory about a mysterious particle using data from the MicroBooNE experiment. The study found no sign of sterile neutrinos, which were proposed to explain strange neutrino behavior, closing the door on one popular explanation.
Researchers at the University of York have discovered a way to harness radiation from particle accelerator beam dumps to produce medical isotopes used in cancer diagnosis and treatment. Copper-67 is a rare isotope with limited global supplies, but this method could generate it without affecting main physics experiments.
Researchers Sang-Ho Kim, An-Ping Li, Bronson Messer and Zac Ward recognized for their distinguished achievements in physics. They were cited by the APS Division of Physics of Beams, Topical Group on Instrument and Measurement Science, Forum on Outreach and Engaging the Public, and Forum on Physics and Society.
Three UCSB physicists, Sebastian Streichan, David Patterson, and Andrea Young, are among the selected researchers receiving funding to investigate the physics of tissue morphogenesis, chiral molecules, and quantum materials. This award aims to unlock new insights into fundamental research in experimental physics.
The American Institute of Physics has awarded PhET Interactive Simulations a $25,000 grant to develop a professional learning course and community for high school physics teachers. The award aims to improve physics education in the US by raising interest and boosting quality.
Japanese physicists have shown that knots can arise in a realistic particle physics framework, potentially explaining the origin of the universe's matter surplus. By combining two long-studied extensions of the Standard Model, the team found a stable knot configuration that could have formed and dominated in the early universe.
Ben Jones, UTA physics professor, receives $1.3 million grant to search for rare processes involving neutrinos. The grant supports his project on neutrinoless double electron capture in argon or krypton gases.
A joint team from The University of Osaka revealed that soft particles exhibit unique focusing patterns compared to rigid particles, influencing their focusing behavior. The study provides fundamental insights into the underlying physics, offering a new theoretical model explaining particle behavior under various flow regimes.
Gravitinos, charged particles with spin 3/2, are suggested as a new alternative to existing Dark Matter candidates like axions and WIMPs. The JUNO detector, currently under construction, is well-suited for detecting gravitinos due to its large volume.
Scientists have successfully demonstrated quantum squeezing of a nanoscale particle, achieving motion uncertainty smaller than quantum mechanical fluctuations. This achievement paves the way for basic research and applications like autonomous driving without GPS.
A new study uses advanced computer simulations to shed light on the fundamental properties of dark matter. The research reveals how gas clouds in the early Universe could reveal information about dark matter's mass, which is crucial for particle physicists to develop theoretical models.