Researchers at the ATLAS experiment have expanded their knowledge of Higgs boson interactions and found stronger constraints on 'new physics' phenomena. The study used machine learning to analyze data from the Large Hadron Collider, but no signs of unknown physics were detected.
Professor Ruth Britto and her international team will develop new algorithmic methods with applications in mathematics, particle physics, and gravity. They aim to tackle longstanding computational bottlenecks and push the boundaries of numerous areas of theoretical physics.
Chris Van de Walle, a distinguished professor at UCSB, has been awarded the American Physical Society's 2025 Aneesur Rahman Prize for Computational Physics. He was recognized for his development and application of first-principles methods to compute structural, electronic, and optoelectronic properties of point defects and interfaces.
Dr. Kevin J. Kelly, an assistant professor at Texas A&M University, has received the Henry Primakoff Award for Early-Career Particle Physics for his significant contributions to neutrino physics and proposing novel directions for dark matter research. He will deliver an invited lecture on his research at a future APS meeting.
The study confirms the presence of quantum E8 particles in BCVO, with an energy-momentum dispersion relationship following the relativistic form. The observed excitation spectrum matched almost perfectly with the predictions of the quantum E8 integrable field theory.
Physicist Volker D. Burkert is honored for his pioneering work on high-performance instrumentation, leading to breakthroughs in fundamental nuclear physics. His research has revealed new insights into the structure of protons and nuclei, including the discovery that the peak pressure inside a proton exceeds that found in neutron stars.
The University of Texas at Arlington has been awarded a $1.5 million grant from the National Science Foundation to train scientists in space physics and data science. The grant will also enable UTA to create a specialization in space physics for students pursuing a Bachelor of Science in physics.
Four Jefferson Lab staff members have been named APS Fellows for their exceptional contributions to physics, including innovative particle accelerator design and world-leading research on quarks. The American Physical Society recognizes fellows who have made significant impacts on the field of physics.
Karen Jo Matsler, a UTA professor, is being honored for her extensive contributions to physics education and her efforts to support educators nationwide. Her Quantum for All initiative aims to integrate quantum concepts into high school science instruction, preparing students for careers in quantum technology.
A study reveals that the gender gap in physics has remained stable for over a century due to established scientists' adoption patterns and network inclusion. The gap can be closed by adjusting parameters, but interventions such as funding and promotion opportunities are more challenging.
A cycling physicist found that a strong tailwind has a negligible effect on an Everesting record. The wind boost on the ascent is canceled out by the significant headwind on the descent.
Researchers apply computational technique to understand the 'pseudogap', a long-standing puzzle in quantum physics with ties to superconductivity. The discovery helps scientists in their quest for room-temperature superconductivity, enabling lossless power transmission and faster MRI machines.
Researchers at Harvard University have developed a new device that can easily twist and study 2D materials, opening up new possibilities for discovering new phases of matter. This innovation uses micro-electromechanical systems to control the twist angle, making it easier to produce unique samples and study their properties.
Researchers Nikolaos Kidonakis and Marco Guzzi have received a third joint NSF grant to continue their study of the Higgs boson, top quark, and proton. The grant supports the university's focus on undergraduate research and advances the field of theoretical particle physics.
A research team led by Professor Monika Aidelsburger and Professor Immanuel Bloch found indications that chaotic many-body systems in the quantum realm can be described using fluctuating hydrodynamics. This approach simplifies the macroscopic description of such systems, obviating the need to engage with microscopic interactions.
Researchers unveil previously unseen properties of neutron stars through gravitational wave analysis, providing insight into internal composition and dynamic material properties. The study places observational constraints on viscosity within neutron stars.
Researchers at Ohio State University have made the first direct observation of incredibly small time delays in a molecule's electron activity when exposed to X-rays. This breakthrough reveals complex interactions between electrons and other particles, shedding light on intricate molecular dynamics.
Researchers at the University of Arizona developed a transmission electron microscope with attosecond temporal resolution, allowing scientists to observe electron motion in real-time. This breakthrough enables studies of ultrafast processes at the atomic level, paving the way for advancements in physics and chemistry.
A team of researchers has discovered novel and unexpected phenomena when studying fractional quantum Hall effects in flatland systems. By applying a supplementary current to high mobility semiconductor devices, they were able to explore new non-equilibrium states of these quantum systems and reveal entirely new states of matter.
A team of researchers from Chiba University successfully measured the interaction rates of high-energy electron and muon neutrinos using the FASERν detector at the Large Hadron Collider. The study marked the first direct observation of these interactions at a particle collider, providing new insights into particle physics.
Dr. Wencai Liu, an associate professor at Texas A&M University, has been selected for the 2024 IUPAP Early Career Scientist Prize in Mathematical Physics. His research focuses on linear and nonlinear Schrodinger equations, contributing to our understanding of quantum mechanics and its applications.
A new AI technique uses physics-informed machine learning to create high-fidelity atmospheric transmission profiles without prior knowledge, enabling accurate remote sensing data correction. This approach enhances remote sensing capabilities for tasks like target detection, requiring limited data and computational resources.
Research by the University of Warsaw and Oxford has shown that tachyons, previously thought to contradict special relativity, can actually aid in its understanding. The study reveals that tachyon theory becomes mathematically consistent when incorporating both initial and final states.
A team of physicists from Poland and Germany have successfully calculated the cross-section for Higgs boson production in gluon-gluon collisions. The calculations suggest that no new physics factors are present in the Higgs boson particle.
Researchers used interferometry to study biofilm growth and found that the contact angle with the substrate plays a key role in determining fitness. The team discovered that the shape of the biofilm's edge, which resembles a spherical cap, is influenced by this geometry.
Researchers create an analog system that can learn complex tasks like XOR relationships and nonlinear regression, using local learning rules without centralized processor. The system is fast, low-power, and scalable, offering a unique opportunity for studying emergent learning.
Researchers at the University of Vienna have developed a new way to understand complex quantum phenomena using magnetic quivers. They found that these quivers can decay into more stable states or fission into separate ones, reinterpreting the Higgs mechanism in quantum field theory.
Theoretical physicists from HKU collaborate with experimentalists to uncover a novel quantum state known as 'Dirac spin liquid' in YCu3-Br material. The discovery provides compelling evidence for the existence of Dirac spinons, expected to exhibit unique characteristics similar to Dirac particles.
Researchers at UTA used ultra-high energy neutrino particles to search for signatures of quantum gravity, but found no evidence of expected quantum gravitational effects. This non-observation represents a powerful statement about the still-unknown physics operating at the interface of quantum physics and general relativity.
Physicists have achieved a breakthrough by exciting thorium atomic nuclei with lasers for the first time, enabling precise tracking of their return to original energy states. This discovery has far-reaching implications for precision measurement techniques, including nuclear clocks and fundamental questions in physics.
Researchers advocate for a collaborative approach between AI and physics in climate modeling to impose physical constraints and achieve global optimality. By integrating AI's spatial prowess with physics' foundational principles, they aim to create a truly learnable climate model.
Researchers have made groundbreaking measurements of the electron capture of the artificial isotope holmium-163, which allows them to determine a Q value for the decay process. This enabled them to measure the neutrino mass with unprecedented precision using a super-sensitive scale and detector.
A new study published in Physical Review Letters has developed a method for secure quantum computing, enabling users to access remote quantum computers while maintaining data authenticity and security. This breakthrough promises to unlock the transformative potential of cloud-based quantum computing.
Scientists developed Te-based THz modulators with improved modulation depth and speed, overcoming the tradeoff between the two. The stacking order of materials significantly impacts the modulation property, which can be regulated through substrate engineering.
Researchers have experimentally verified the parity anomaly in a topological insulator, which leads to spectral asymmetry and an unusual change in electrical resistance. This finding is generic for any topological insulator and opens up new avenues for exploring topological insulator physics.
A team from the University of Copenhagen contributed to an Antarctic experiment studying neutrinos, which may hold the answer to whether gravity also exists at the quantum level. The study found no conclusive changes in neutrino properties, but the results do not exclude the possibility of quantum gravity.
A new study by Chinese Academy of Sciences and Texas A&M University reveals regional to global changes in biogenic volatile organic compound (BVOC) emissions from 2001 to 2020. The research, published in Atmospheric Chemistry and Physics, highlights the impact of global greening trends on BVOC emissions.
A team of biophysicists used computational physics modeling to understand how cells sort themselves into different groups during development. They found that high-density particles do not separate using temperature or energy injection, highlighting the need for alternative mechanisms.
A Rice University team, led by Wei Li, has received a $15.5 million grant to develop an ultra-fast silicon timing detector for the CMS experiment at the LHC. This technology will enable breakthrough science in heavy ion collisions and provide insights into the strong nuclear force.
Researchers from the Institute of Nuclear Physics propose using AI to reconstruct particle tracks, which will be crucial for experiments finding new physics. The proposed method uses a deep neural network trained on simulated data and achieves accurate results comparable to classical algorithms.
A new study has challenged existing theories on the behavior of particles in the Van Allen belt, a hazardous region near Earth. The research has implications for predicting and analyzing particle movement, which is crucial for understanding space environments.
Four PPPL researchers, Villafana, Israeli, Majeski, and Ochs, featured in the Physics of Plasmas Early Career Collection, highlighting their notable contributions to the field. The collection aims to promote younger scientists' work, balance their smaller networks, and help build momentum for research.
The Rensselaer Polytechnic Institute researcher is working with the Tachyon Project to create surrogate machine learning models that can simulate and analyze particle physics data in real-time. This project aims to improve scientific discovery and workflow performance for scientists at Fermilab and ALCF.
Scientists use machine learning algorithms to model atomic masses of nuclide chart, complementing research on nuclear structure and astrophysical processes. The approach enables physics-based extrapolations and provides information on 'missing physics'.
Researchers have discovered unique electromagnetic signals in the debris of a neutron star merger, which could provide new constraints on axion-like particles and their potential role in dark matter. The findings were made using data from NASA's Fermi-LAT gamma-ray telescope.
Researchers demonstrate a way to amplify interactions between particles to overcome environmental noise, enabling the study of entanglement in larger systems. This breakthrough holds promise for practical applications in sensor technology and environmental monitoring.
A new emulator model improves auroral current system simulations, enabling faster and more efficient space weather forecasts. The Surrogate Model for REPPU Auroral Ionosphere version 2 (SMRAI2) is a million times faster than physics-based simulations and incorporates seasonal effects.
Researchers at Purdue University have discovered a new type of emergent particle, the six-flux composite fermion, which explains rare quantum states in host materials. This discovery expands our understanding of topological electron physics and has significant implications for the ordering of known fractional quantum Hall states.
Auburn University researchers are using a $400K NSF award to study the ionization and recombination of heavy elements in kilonovae, shedding light on their origins. The team's calculations will help determine which elements were produced in neutron star mergers.
Researchers at Forschungszentrum Jülich have programmed an AI that can recognize patterns in complex data sets and formulate them in a physical theory. The AI uses physics for machine learning to simplify complex interactions and build up a new theory.
The study introduces attention-based hybrid models that combine the strengths of physics-based models and deep learning capabilities to improve soil moisture predictions. The research shows that ensemble hybrid model outperforms current models for long-term predictions, while attention hybrid model excels in drought predictions.
Researchers have successfully induced and controlled polarization states within metals using flexoelectric fields. This method has the potential to mitigate power losses attributed to semiconductors and extend battery lifespan in electronic devices.
Researchers analyzed 17th and 18th century firefighting devices to uncover the physics behind their success. The study found that the Windkessel effect, a chamber in a wooden wagon, compressed air to pump water continuously through a hose.
Researchers at Rice University have developed a new experimental technique that preserves quantum coherence in ultracold molecules for a significantly longer time. By using a specific wavelength of light, the 'magic trap' delays the onset of decoherence, allowing scientists to study fundamental questions about interacting quantum matter.
Researchers at Princeton University discovered a sudden change in quantum behavior while experimenting with a three-atom-thin insulator. The findings suggest the existence of unique quantum phase transitions that disobey established theories, promising to enhance our understanding of quantum physics and superconductivity.
The Particle Physics Project Prioritization Panel (P5) report recommends budget-conscious investments in high-energy physics research. The US government will support the Large Hadron Collider, Deep Underground Neutrino Experiment, CMB-S4, and IceCube-Gen2 facilities for transformative discoveries related to fundamental physics.
A new study by Rice University researchers examines how scientists' social identities and national context shape their explanations for gender inequality in science. The study finds that viewing women's decisions to pursue careers in physics as individual choices may diminish efforts to promote gender equality in STEM fields.
The University of Texas at Arlington's Nuclear Research Experiences for Minority Students (NREMST) program provides paid traineeships in particle and nuclear physics to undergraduate students. The program, now receiving a $341,571 grant, has already hosted eight trainees who contributed to heavy ion beam production, detector developmen...
Researchers at DTU Energy replicated a 2021 experiment where a fast-spinning magnet caused another magnet to hover. The force affecting the magnets is attributed to coupling between movement and magnetic force, allowing it to defy classical physics.
Astronomers combined the Webb and Hubble telescopes to capture a detailed portrait of the cosmos, revealing a galaxy cluster about 4.3 billion light-years from Earth. The image showcases magnified supernovae and individual stars, providing insights into the universe's first stars and the forces driving its expansion.