Articles tagged with Motion
Researchers found that brains work harder to process motion descriptions in unfamiliar languages, a phenomenon known as the P600 effect. This study, published in Neuropsychologia, suggests that language influences how our brains perceive and interpret physical movement.
The American Physical Society's Division of Fluid Dynamics awarded posters and videos on fluid motion phenomena, including COVID-19 spread and turbulent convection. The gallery highlights the science behind these topics through stunning visuals.
Scientists at Japan Advanced Institute of Science and Technology developed a novel approach to quantify the psychological appeal of games. They found that the value of 'gravity in the mind' changed over time, reflecting cultural tendencies and historical trends.
Materials scientists at UMass Amherst developed a way to efficiently convert elastic energy into kinetic energy for high-acceleration movements. By designing elastic bands with strategically placed elliptical holes, they achieved more than 90% energy conversion, compared to 70% for plain bands.
A team of researchers has developed a computational model to describe the motion of molecular motors, shedding light on how they generate unidirectional motion. The study found that molecular motors follow a
Researchers have developed 'drawn-on-skin' electronics, allowing multifunctional sensors and circuits to be drawn on the skin with an ink pen. This technology provides better data for personalized care by collecting precise, motion artifact-free health data.
Researchers measured gas motions throughout the Milky Way and a nearby galaxy, finding that cold molecular gas motions appear to fluctuate in velocity, reminiscent of ocean waves. The team discovered that equidistantly spaced structure shows distinctive pattern, with periodic spacing likely resulting from gravitational instability.
Scientists at University of Warsaw and ETH Zurich have synthesized active microparticles that self-propel in a fluid and reverse their direction based on wavelength. This breakthrough enables exploration of synthetic microswimmers with potential applications in diagnostics and medicine.
Researchers use physics and technology to track animal movement, revealing key findings on flock behavior, neural network tracking, and burrowing forces. By analyzing animal motion, scientists gain a deeper understanding of collective behavior and individual animal actions.
Researchers analyzed the acoustics of a bursting soap bubble to decipher the origin of the popping sound, finding that forces exerted by the liquid film create the pop. This study demonstrates how sound signatures can be harnessed to measure forces during violent events.
Researchers at LMU München successfully couple a light-activated molecular motor to a receiver unit, demonstrating the motor's ability to accelerate rotation and perform useful work. The study provides unprecedented insights into the operation of an integrated molecular machine.
The Gallery of Fluid Motion, a premier visual record of contemporary fluid mechanics, displayed over 3,000 striking videos and posters. The highest-scoring entries in each category were designated as Milton van Dyke Awardees or Gallery Winners.
Scientists have found two types of movement in nucleoli that contribute to healthy cellular function and may disrupt disease, including cancer. The research sheds light on the forces responsible for maintaining cellular integrity without membranes.
Researchers at MIT and University of Illinois develop method to control balance in two-legged, teleoperated robot. The approach enables humanoid robots to exert force or push against something without falling, paving the way for high-impact tasks in challenging environments.
A new method uses deep neural networks to precisely guide animated characters by inferring various motions, such as sitting, picking up objects, and running. The technique achieves this in a user-friendly way with simple control commands.
Researchers have found a physical explanation for how bacteria swim against the current, with a new mathematical formula describing their motion behavior. The discovery could enable design of special tube surfaces to slow down bacterial migration.
Researchers developed a user-friendly, stretch-sensing data glove to capture real-time, interactive hand poses with precision. The gloves outperformed commercial products in most cases, and the team plans to expand to other sizes and shapes.
Physicists at NIST have developed a technique to amplify and measure the tiny motions of a magnesium ion, enhancing sensing of weak electric fields. The method could speed up quantum computing operations and detect minute changes in light absorption.
A team of researchers at the University of Münster discovered a mechanism that triggers subsequent lamellipodial cycles in cells, allowing them to maintain direction over time. This discovery sheds light on how cells navigate their environment without external signals.
Physicists simulate infinite quantum particles to understand macroscopic scale behavior, reconciling quantum mechanics and classical mechanics. This approach allows for the calculation of physical entities like the second virial coefficient, enabling robust predictions.
Researchers at LMU Munich develop a novel enhancement resonator to generate ultrafast laser pulses, enabling the characterization of multidimensional electron motions in weeks instead of months. The technique opens new opportunities for investigating local electric fields in nanostructures.
Fish and birds are able to move in groups without separating or colliding due to the interaction of followers with their leader's wake. This phenomenon allows slower followers to keep up with faster-flapping leaders by surfing on their wake, enabling efficient energy harvesting from natural resources.
Researchers at Pitt develop a two-dimensional, shape-changing sheet that wraps, flaps and creeps in a reactant-filled fluid. The team introduces a coating of catalysts on the flexible sheet, initiating motion and reconfiguration through catalytic chemical reactions.
Researchers create algorithm to predict tunneling ionization rates for complex molecules, potentially controlling electron motion and chemical reactions. This breakthrough enables precise calculations of probabilities and opens up new areas of science and technology applications.
Indiana University researchers observed nanoparticles rotate differently when binding to receptors, indicating varying levels of cellular binding strength. This discovery could lead to more effective drug treatments and improved immunotherapy.
Scientists have successfully imaged extremely small magnetic nanostructures with an 'invisibility cloak', allowing for dense data storage and fast data transfer. The cloaking technique reduces the magnetic stray field, enabling smaller structures that can be moved at high speeds.
Researchers have developed an ultrafast optical fiber-based electron gun to directly observe and capture atomic motions at surfaces and interfaces. The device uses low-energy electron pulses and a streak camera to achieve subpicosecond temporal resolution, revealing the transition state during chemical processes.
A new system, MoSculp, uses algorithmic processing of 2D videos to generate 3D printed motion sculptures, providing a detailed study of human movement for athletes, dancers, and others. The system has been shown to improve visualization and analysis of complex motion in over 75% of user studies.
Researchers at Carnegie Mellon University and DeepMotion Inc. developed a physics-based method for controlling animated characters to learn dribbling skills from motion capture data. The system requires millions of trials but produces arm movements closely coordinated with physically plausible ball movement.
Researchers at Washington University in St. Louis developed mathematical tools that determine when randomness emerges in stochastic systems, describing the kinetics before dissolving into randomness. The tools have potential to predict onset of chaos in nanoparticles to checking accounts.
Researchers built a quantum version of Newton's cradle to study the behavior of quantum particles and understand how they reach thermal equilibrium. They observed that the chaotic motion leads to thermalization in a sequence of two exponential steps, challenging previous predictions.
Researchers at ETH Zurich found that ionization delays in molecules can significantly depend on the kinetic energy of both the photoelectron and the nuclei. This study extends the concept of ionization delays introduced for atomic systems, showing that variations can be as large as those with electronic kinetic energy.
A research team led by Eiji Watanabe reproduced illusory motion using deep neural networks trained for prediction. The DNNs accurately predicted motion in unlearned videos and represented rotational motion in illusion images, similar to human visual perception.
Researchers propose a new method to solve the complex many-particle Schrödinger equation, enabling accurate electronic energies and advancing fields like drug discovery and nuclear physics. The approach merges deterministic and stochastic methods to identify key wave function components.
A study conducted by Hokkaido University and Yamagata University found that nodding positively affects perceived attractiveness, likability, and approachability. Nodding increased these traits by 30% and 40%, respectively, compared to head shaking or motionlessness.
A team of researchers at the University of Oregon has identified a universal pattern in protein motion, which could help pinpoint where proteins bind to other molecules. The study found that protein motion is governed by random energy fluctuations and a critical hydrogen-bonding network.
Chemists at LMU München have developed a new synthesis to reduce the speed of a molecular motor, allowing them to analyze its light-driven rotation in complete detail. This breakthrough enables the study of unidirectional motion and opens up potential applications in catalysis and smart materials.
Researchers have developed a novel nanoscale optomechanical resonator that can detect torsional motion at near state-of-the-art sensitivity. The device also demonstrates torsional frequency mixing, impacting optical energies using mechanical motions.
Theoretical physicists analyze flocking behavior on curved surfaces, including a sphere and an hourglass-shaped figure called a catenoid. They found special sound modes that don't dissipate and flow around obstacles, with the sphere's bands centered on the equator.
Jessica Hodgins, a pioneer in character animation and robotics, has been recognized with the prestigious Steven Anson Coons Award for her outstanding contributions to computer graphics. Her work on physical simulation and control has advanced the development of realistic computer animations and human-robot interaction.
A new method assesses patterns of ground force application, suggesting Bolt's mechanics may vary between left and right legs. The analysis provides a new tool for understanding the basis of maximal running speeds.
A quantum particle oscillates back and forth when interacting with a gas of Cesium atoms at extremely low temperatures. This behavior challenges Newton's laws of motion, as the particle's motion is restricted to the direction of the tubes.
Researchers at University of Groningen create light-driven rotary motor with locked movement, where naphthalene rotor synchronizes with motor rotation. This breakthrough demonstrates synchronization of movement in artificial systems, a fundamental step towards molecular machine development.
The new tool enables users to build customized legged or wheeled robots using 3D-printed components and off-the-shelf actuators. It provides a physical simulation environment to test the robot before fabrication, allowing for iterative design adjustments.
Researchers develop a new optical manipulation technique that can control the 3D motion of complex-shaped objects, including living cells. The technique uses 3D holographic microscopy to measure object shapes and calculates light shapes for stable trapping.
A new innovative method developed by Disney Research makes it possible to realistically simulate hair by observing real hair in motion. The framework considers the dynamics of hair and can be used with a wide variety of simulation methods.
Researchers design a pod-like casing with liquid-crystal elastomers and molecular switches, demonstrating the ability to produce powerful movement at the molecular level. The device uses light-triggered re-arrangement of molecular switches to drive twisting helices in opposing directions, resulting in the bursting of the casing.
Researchers developed a concise new explanation for human running mechanics, offering direct insight into determinants of performance and injuries. The two-mass model provides accurate predictions of ground-force application regardless of speed or foot-strike type.
Researchers from Uppsala University developed computational tools to predict large-scale collective motion in simulated mass gatherings. They found that densely packed crowds are at risk of emergent structural mechanisms leading to disasters.
A new type of gel has been developed that periodically swells and shrinks to model the waves of muscular contraction and relaxation involved in crawling. The gel responds to light, producing two types of crawling motion, similar to those used by land snails, earthworms, and limpets.
A numerical study explores the patterns made by 2-D rectangular plates falling freely within water, identifying parameters influencing their motion and force characteristics. The findings may aid in improving wing designs for unmanned aerial vehicles and controlling object motions within fluids.
Researchers at SLAC used the ultrafast electron diffraction method to capture atomic nuclei in molecules vibrating within millionths of a billionth of a second. This technique provides new opportunities for precise studies of dynamic processes in biology, chemistry, and materials science.
Physicist M. Cristina Marchetti is using the grant to characterize the physics of organization in nature, from flocking behavior of birds to coordinated motion of cells. She aims to provide a mathematical framework for describing aggregation of Myxococcus xanthus under starvation conditions.
Researchers at Drexel University have developed a fabrication method for swimming microrobots using just two conjoined microparticles coated with magnetic debris. The microswimmers can be controlled by an external magnetic field, allowing for control over speed and direction.
A team of researchers used a custom-built robot, mathematical models, and studies of amphibious fish to explore the critical evolutionary leap from water to land. They found that stabilizing the body with a tail provided substantial benefits for early terrestrial vertebrates.
Researchers developed approach dynamically changing user's field of view in response to visually perceived motion to reduce VR sickness. The study showed significant reduction in VR sickness experienced by participants without decreasing their sense of presence in the virtual environment.
A new paper by Holger Hofmann reveals that quantum particles' motion is not deterministic and emerges only at the macroscopic limit. The Heisenberg uncertainty principle prevents the observation of trajectories, leading to a fundamental scale where classical physics breaks down.
Researchers demonstrate that rotational motion in the universe follows general relativity principles, connecting it to dark energy content and inertial dragging. The study yields a prediction that 73.7% of the present content of the universe is in the form of dark energy.
Indian researchers have conducted analyses to electrically increase liquid flow in pump-free microfluidic devices. By implementing an electric field component, they can enhance on-the-fly controllability of the flow rate, aiding studies on targeted drug delivery and biophysical fluid transport.
Physicists have developed a way to differentiate between the active motions of living cells and those driven by random molecular movements. The method uses video imaging and analysis to identify non-equilibrium systems in living organisms.