Articles tagged with Applied Physics
Researchers explore evaluation methods for sensitivity limits of quantum magnetometers, revealing intrinsic connections and relationships between quantum characteristics. The study advances theoretical development in quantum magnetometry and experimental optimization.
Physicists at Harvard SEAS have created a compact, on-chip mid-infrared pulse generator that can emit short bursts of light without external components. This device has the potential to speed up gas sensor development and create new medical imaging tools.
Researchers from Waseda University used machine learning to enhance the performance of photomechanical crystals, achieving up to 3.7 times greater force output compared to previously reported values. This breakthrough has significant implications for remote-controlled actuators, medical devices, and energy-efficient systems.
Scientists investigate whether living neurons can transport light through their axons, which would significantly change current models of the nervous system. If successful, it could have major implications for treating brain diseases and healing the brain.
Ryan Amberger, a Ph.D. candidate in physics at Texas A&M University, has been selected for a 2025 Los Alamos-Texas A&M Fellowship to conduct dissertation research on nuclear astrophysics. He aims to improve understanding of the s-process by studying neutron cross sections.
The team fabricated a probabilistic bit device based on manganite nanowires, achieving full control of its probabilistic characteristics with nanoampere-level currents. This p-bit exhibited exceptional computational potential in Bayesian inference tasks, outperforming existing similar probabilistic bits.
Harvard physicists develop an optical vortex beam that twists and changes shape, resembling spiral shapes found in nature. The 'optical rotatum' has potential applications in controlling small particles and micro-manipulation, and its creation is made possible with a single liquid crystal display.
Researchers have directly observed a superradiant phase transition (SRPT) in a magnetic crystal, overcoming a long-standing limitation in theoretical physics. The phenomenon occurs when two groups of quantum particles fluctuate collectively without external triggers, forming a new state of matter with unique properties.
A new study published in Newton uses artificial intelligence to identify complex quantum phases in materials, significantly speeding up research into quantum materials. The breakthrough applies machine-learning techniques to detect clear spectral signals, allowing for a fast and accurate snapshot of phase transitions.
Engineered materials mimic quantum behaviors, allowing for the simulation of Schrödinger dynamics in classical systems. This breakthrough enables the study of quantum phenomena in more accessible environments, paving the way for novel technologies.
A team of researchers led by a graduate student discovered a novel property in certain liquids that contradicts long-held expectations from the laws of thermodynamics. Magnetized particles increase interfacial tension, bending the boundary between oil and water into a specific shape.
Harvard researchers have created a photon router that could plug into quantum networks to create robust optical interfaces for noise-sensitive microwave quantum computers. The breakthrough enables control of microwave qubits with optical signals generated many miles away, bridging the energy gap between microwave and optical photons.
A study explores how large language models (LLMs) can transform teaching by generating customized educational materials, assessing student progress, and providing targeted feedback. LLMs excel at automating routine tasks, reducing teachers' workload and enabling them to focus on mentoring students.
A new bilayer metasurface, made of two stacked layers of titanium dioxide nanostructures, has been created by Harvard researchers. This device can precisely control the behavior of light, including polarization, and opens up a new avenue for metasurfaces.
Scientists studied rolling physics of real-world objects, including spheres and cylinders on inclines, finding periodic motion with predictable patterns. The research demonstrates topological theorems and illustrates abstract mathematics through simple experiments.
Researchers at the University of Amsterdam found that worms behave like 'active polymers' when navigating complex environments. In disordered obstacles, they spread faster as obstacle density increases, contradicting common sense. The study's findings suggest a crucial role for environmental geometry in dictating movement strategies.
A team of engineers at the University of Texas at Dallas has developed a new surface design that collects and removes condensates rapidly, challenging conventional theory. The discovery reveals a limitation in existing heat transfer models and inspires a new theory to explain the phenomenon.
Researchers at Kyoto University develop thermomajorization theory to unify different distance measures, eliminating ambiguities in previous studies. The approach reveals the Mpemba effect is not restricted to specific temperature ranges, but can emerge across a wide spectrum of thermal conditions.
Three PPPL researchers, Frances Kraus, Jason Parisi, and Willca Villafana, are recognized for their innovative contributions to plasma physics. Their work covers various areas, including high-temperature fusion plasmas and low-temperature plasma simulations.
Scientists at the University of Rochester have discovered a way to create artificial atoms within twisted monolayers of molybdenum diselenide, retaining information when activated by light. This breakthrough could lead to new types of quantum devices, such as memory or nodes in a quantum network.
Physicists at Washington University in St. Louis have created a novel phase of matter called a time quasicrystal, which vibrates at precise frequencies over time. The researchers built the quasicrystals inside a diamond chunk using powerful nitrogen beams and microwave pulses.
Researchers develop active metamaterials that can autonomously roll, crawl, and wiggle over unpredictable terrain, including uphill and obstacles. These 'odd' objects achieve motion through unusual interactions between motorized building blocks, demonstrating decentralized and robust locomotion.
A team of international scientists co-led by NTU Singapore has discovered a way to manipulate water waves to trap and precisely move floating objects. The method involves generating complex surface patterns that can pull in nearby objects, allowing for precise control over their movement.
A new study found that football teams move as though they are a single person, displaying Lévy walk patterns while hunting for the ball. This collective behavior suggests that individual players complement each other's actions in response to the game.
Researchers at Tartu University have developed a robotics concept that redefines adaptability by weaving its body on demand, like spiders spin their webs. The robot creates custom components in situ using heated polymer solutions, enabling it to operate in complex environments and interact with its surroundings dynamically.
The Global Physics Summit will feature nearly 1,200 sessions and 14,000 presentations on various topics, including astrophysics, climate science, medicine, and quantum information. Registered journalists and public information officers will receive daily emails with meeting information.
UC Santa Barbara researchers develop photonic integrated 3D-MOT, a miniaturized version of equipment used to trap and cool atoms. This innovation enables new applications in sensing, precision timekeeping, and quantum computing, and paves the way for accessible quantum research projects.
The study proposes a new framework for understanding complex higher-order networks, which could lead to breakthroughs in physics, neuroscience, computer science, and more. The framework integrates discrete topology and non-linear dynamics, offering insights into how topology shapes dynamics and evolves dynamically.
Researchers develop a predictive model of knitting using mathematical techniques from general relativity, allowing for the creation of self-folding and shape-morphing textiles. This breakthrough enables fabrics with precise properties and opens doors to new design applications in soft robotics and medical materials.
Researchers at UNC-Chapel Hill discovered that shaking bubbles creates a counterintuitive 'galloping' motion, allowing for controlled movement in unexpected ways. This breakthrough has significant implications for industries like cooling systems, surface cleaning, and biomedical applications.
Researchers developed a nanoscale antenna using optically levitated nanoparticles, achieving a 10,000-fold reduction in size compared to conventional solutions. This innovation addresses challenges in miniaturizing antennas for critical low-frequency communication scenarios.
Research team develops novel method to exploit frictionless sliding for improved memory performance and energy efficiency. The new technology enables unprecedentedly efficient data read/write operations while consuming significantly less energy.
The study reveals the existence of valley vortex states within water wave crystals, introducing a new degree of freedom for water wave manipulation. These states have significant implications for ocean energy extraction, marine engineering, and coastal infrastructures.
Researchers are using machine learning to enable autonomous control of particle accelerators, opening up new possibilities for commissioning and operating high-power accelerators. The technology has been successfully applied to the CAFe2 superconducting segment, achieving global trajectory adaptive control.
Researchers from Aalto University have created a synthetic surface inspired by lotus leaves and found that plastronic waves travel along the surface at speeds up to 45 times faster than capillary waves. The discovery could lead to new applications in biotechnology, materials science, and pharmaceuticals.
Researchers derived 2D coupled wave equations for photonic crystal surfaces, aiding the development of efficient laser devices. The findings established parallels between TM and transverse electric polarisation behaviours, offering unique advantages in certain configurations.
Discounted hotel rates available at select hotels near the Anaheim Convention Center. The Global Physics Summit will feature nearly 14,000 individual presentations on new research in various fields.
Researchers at the University of Houston have achieved a major milestone in finding superconductors that work in everyday conditions. By stabilizing high-pressure-induced superconducting states at ambient pressure, they have opened up new avenues for fundamental research and practical applications.
A team of Lehigh University researchers is pioneering the use of artificial intelligence (AI) techniques to revolutionize materials science. By combining mathematical modeling with AI-powered learning, they aim to decode the fundamental relationships between a material's structure and its properties.
Researchers at Tel Aviv University have developed a method to transform graphite into novel materials with controlled atomic layers, enabling the creation of tiny electronic memory units. This process, known as 'Slidetronics,' allows for precise manipulation of material properties, opening doors to innovative applications in electronic...
Scientists studying neutron 'starquakes' hope to gain new insights into the properties of neutron stars, improving our understanding of the universe. This research has potential implications for fields like health, security, and energy.
A team of physicists at the University of Vienna created an innovative device that uses spin waves to perform multiple data processing tasks with exceptional energy efficiency. The 'universal' device has significant potential for next-generation telecommunications, computing, and neuromorphic systems.
Dental implant surgeries require optimal mechanical stress levels for successful bone healing and long-term implant success. Researchers are developing a hybrid biomechanical model using machine learning to provide precise, patient-specific predictions of mechanical stress.
A team of researchers at Tokyo University of Agriculture and Technology has developed a scaling model for transitional pressure development during acceleration. The study combines the incompressible and compressible flow theories to create a unified model that can be applied universally to various floors and liquid types.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Researchers at Johannes Gutenberg University Mainz discovered altermagnetism, a new concept in physics that combines the characteristics of ferromagnets and antiferromagnets. The discovery has the potential to increase data storage capacity by utilizing the magnetic moment of electrons for dynamic random-access memory.
Researchers developed a 7-axis synchronization algorithm for freeform surface laser texturing, achieving high efficiency and accuracy without stitching errors. The approach improves processing efficiency by up to 559% and reduces errors by 60%, making it suitable for industrial applications.
Researchers at Pohang University of Science & Technology have developed a technology that uses microwaves to produce clean hydrogen in minutes, overcoming limitations of existing methods. By leveraging microwave energy, the team achieved significant breakthroughs in reducing production temperatures and time.
Researchers at TU Graz are developing a self-learning AI system to position individual molecules quickly and autonomously, enabling the construction of highly complex molecular structures. The goal is to build logic circuits in the nanometre range using quantum corrals made from complex-shaped molecules.
The American Physical Society's joint March Meeting and April Meeting will convene more than 14,000 physicists from around the world to present new research in various fields. The conference will be held in person in Anaheim, California and online everywhere March 16-21.
A team of scientists developed a new soft microalgae robot (saBOT) using microalga Euglena gracilis as the main body, regulated by a photonic nanojet generated by a TiO2 microsphere lens. The robot demonstrates controllable deformation and precise navigation in complex environments.
Researchers at Tokyo University of Agriculture and Technology developed an explainable AI model to classify videos of splashing and non-splashing drops. The model achieved a success rate of 92% for low-viscosity liquid and 100% for high-viscosity liquid, revealing key differences in droplet behavior during impact stages.
The new startup, AQSolotl, has developed a quantum controller that enables users to control quantum computers easily using laptops and desktops. The technology, developed by NTU and NUS researchers, is designed to be scalable, adaptable, and cost-efficient.
A study from the University of Notre Dame found nine out of 22 watch bands contained high levels of perfluorohexanoic acid (PFHxA), a type of PFAS. Elevated PFAS levels were more prevalent in higher-priced watchbands, posing concerns for dermal absorption and potential health risks.
A team of researchers developed a novel approach to categorize eigencurrents and eigenmodes based on symmetry features, revealing the topological invariants protected by symmetries. This discovery paves the way for synthesizing complex singularities with predictable properties.
Researchers argue that the seasonal time change provides a natural experiment to adapt work activity to morning light, allowing extra daytime leisure in summer. Despite BSS calls for an end to the time change, polls show majority support for summer time over winter time.
Researchers at Tokyo University of Science have developed a new method called black-box forgetting, which enables selective removal of unnecessary information from large pre-trained AI models. This approach enhances model efficiency and improves privacy by reducing computational resources and information leakage.
Researchers have uncovered key insights about how liquid crystals transform between different phases using direct simulation and machine learning. This study provides a clearer understanding of the microscopic-level changes in these materials, which could lead to new possibilities for advanced materials development.
Researchers demonstrate transverse thermoelectric conversion in WSi2 for the first time, using mixed-dimensional Fermi surfaces to enable TTE effect. The study paves the way for developing new sensors and efficient thermoelectric materials.
Recent Nobel Prizes in physics and chemistry have recognized the convergence of AI with physics and chemistry, emphasizing the need for interdisciplinary research. Researchers advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications.