Articles tagged with Applied Physics
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.
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 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.
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 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.
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.
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.
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.
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.
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.
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 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.
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.
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.
Researchers identify a quantum mechanism as key to accelerating ocean temperatures, which current climate models fail to predict. The study proposes a new paradigm that factors in non-thermal energy, suggesting a revised approach to understanding ocean thermal stability and climate change.
Researchers from the University of Kent have demonstrated that quantum information can be used to coordinate devices like drones or autonomous vehicles. The team conducted experiments using real qubits inside a quantum computer developed by IBM, showing that devices can continue to influence each other even after separation.
An international team of scientists created a platinum-nickel nanolayer on an electrode using electrodeposition, observing the formation of spherical nanoparticles with densely branched structures. TEM and STXM imaging revealed the layer's composition as nickel(II) oxide and metallic platinum.
Researchers have discovered a new phenomenon in quantum-driven superconductors that could lead to more precise control of driven quantum systems. The study, led by IU Professor Babak Seradjeh, explores the role of Floquet Majorana fermions in the Josephson effect and their potential for developing stable quantum computers.
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.
A UIC graduate student has proposed three promising new designs for superconducting materials that could achieve high-temperature superconductivity at room temperature. The designs were published in the Proceedings of the National Academy of Sciences and demonstrate properties needed for very high-temperature superconductivity.
Researchers have developed a new batteryless and wireless sensor that can detect impending biliary stent obstructions without waiting for clinical symptoms, blood tests or imaging tests. The sensor is 8 millimeters long and has a signal-to-noise ratio of a million to one during testing.
A new training algorithm called ternarized gradient BNN (TGBNN) enables learning capabilities for binarized neural networks (BNNs) on IoT edge devices. The proposed MRAM-based CiM architecture achieves faster convergence and matching accuracy with regular BNNs.
Researchers developed an octopus-inspired adhesive with elastic, curved stalk and membrane that adheres to multiple surfaces in wet environments. The adhesive demonstrated strong attachment to complex objects and could be rapidly attached and released.
Jenny Hoang, a senior at the University of Texas at Arlington, received the third-place award for her research on diazo compounds. The LSAMP program has inspired her to pursue medical school and encouraged other students to aim for Ph.D.s in physics or particle physics.
Researchers used mathematical modeling to calculate the likelihood of successfully scheduling a meeting based on several factors. As the number of participants grows, the probability of scheduling a successful meeting decreases sharply, with a critical point where the likelihood drops significantly.
Researchers found that different synthesis methods significantly affect high entropy oxides' local structures and microstructures. Combustion synthesis produced the most homogeneous samples, while solid-state method resulted in varied local structures.
A team of researchers led by Dr. Zihao Ou successfully made the skin on live mice transparent using a mixture of water and tartrazine, a common food coloring. This breakthrough allows for direct observation of organs and tissues beneath the skin, opening up new possibilities for biomedical research.
Researchers have developed a new engineering approach to on-chip light sources, enabling the widespread adoption of photonic chips in consumer electronics. The innovation involves growing high-quality multi-quantum well nanowires using a novel facet engineering approach, which enables precise control over the diameter and length of the...
Researchers from NUS successfully simulated higher-order topological lattices with unprecedented accuracy, unlocking new potential in quantum computers. The study enables the exploration of high-dimensional topological materials and their unique properties.
A new graduate program at Rice University aims to equip students with skills needed to serve as leaders in quantum technology innovation. The program will provide interdisciplinary training to 30 students, combining expertise from quantum physics, optics, and nanotechnology.
Scientists at NIST have created tiny lasers that generate light at yellow and green wavelengths, filling a long-standing gap in the visible-light spectrum. The new technology has potential applications in underwater communications, medical treatments, and quantum computing.
A new study led by Dartmouth researchers questions the rapid polar ice collapse model used in the IPCC's sixth assessment report. The team found that the expected rate of retreat is significantly lower than predicted, making the worst-case scenario less likely, but still dire due to ongoing ice loss from Greenland and Antarctica.
Researchers have developed a new imaging method for neutral atomic beam microscopes that can improve image resolution without significantly increasing measurement time. The new method uses magnetic spin precession to encode the position of beam particles, which interact with the sample.
A new study published in Physical Review Letters suggests that nanohertz gravitational waves may not originate from supercool first-order phase transitions. Researchers found that such transitions would struggle to complete, shifting the frequency of the waves away from nanohertz frequencies.
Physicists at European XFEL have made comprehensive observations of ionisation processes in warm dense matter. The team observed how quickly copper transforms into the exotic state of ionised WDM to become transparent to X-rays.
Researchers developed a new 2D quantum sensing chip using hexagonal boron nitride that can simultaneously detect temperature anomalies and magnetic fields in any direction. The chip is significantly thinner than current quantum technology for magnetometry, enabling cheaper and more versatile sensors.
Researchers successfully applied atomic pair distribution function (PDF) analysis at X-ray free-electron laser facilities to study ultrafast material transitions. They discovered a new material phase, resolving years-long scientific debate and paving the way for designing novel transitioning materials with commercial applications.
Researchers measured dielectric properties of 11 polyimides to establish correlation between molecular structure and dielectric behavior. The study revealed that higher fluorine content resulted in lower dielectric constant values, enabling potential applications for 6G technologies.