Articles tagged with Dynamics
Researchers from SUTD developed a control method that enables a one-motor flying robot to anticipate its next movements and track complex paths more accurately. The approach, described in a study, outperformed a benchmark controller in reducing positional errors by up to 39.5% on certain trajectories.
Researchers from Kyushu University used high-power lasers to recreate magnetic reconnection in a controlled environment. Their study shows that reconnection rates are governed by local physics, not plasma properties, providing experimental benchmarks for testing theoretical models.
A novel hierarchical motion planning method combines goal-biased RRT with sequential convex programming to plan high-quality trajectories for space redundant manipulators. The proposed method successfully satisfies obstacle avoidance, end-effector line-of-sight constraints, and joint torque limits, converging in 17 and 18 iterations fo...
A new strategy design method for multi-aspect information acquisition of non-cooperative targets is proposed using sequential coalition game theory. The method combines four close-range operation models to achieve efficient acquisition of multi-aspect payload information under minimum fuel constraints.
Researchers at Texas A&M University develop a laser technique called TRIP to directly measure quantum forces shaping proteins, enabling accurate prediction of how pharmaceutical drugs interact with them. This breakthrough could lead to the design of medicines tailored to specific diseases, revolutionizing precision medicine.
Researchers from the University of Warsaw studied the physical properties of espresso brewing and found that at higher pressures, the coffee behaves like a poroelastic material, exhibiting nonlinear pressure dynamics. This effect affects the dissolution rate of coffee and can be used to improve the brewing process.
Researchers at WVU are developing new laser-based techniques to observe plasma behavior in unprecedented detail, allowing them to examine how charged particles and energy move between plasmas and material surfaces. This study could lead to improved understanding of plasma sheaths and their role in surface wear and material lifetime.
Researchers found that people tend to move counterclockwise when walking, influencing crowd behavior and collective patterns. This individual inclination helps explain certain phenomena, offering a new perspective on understanding crowd dynamics.
Researchers developed a quantum sensing approach using superconducting qubits, combining non-equilibrium dynamics and quantum criticality to measure gradient field strengths with quantum-limit precision. The method avoids complex measurement setups, enabling highly precise estimates of gradient field strengths with limited samples.
Kirigami researchers create twisty structures for flexible robotic components and soft actuators, exploiting geometrical design to enable rotation under stretching. The unique mechanical properties of these kirigami materials offer new potential applications in robotics and engineering.
Researchers have discovered two thresholds for the behavior of charged water droplets on frictionless surfaces, enabling finer control over electrospray processes and opening up opportunities for nanofabrication. The study's findings may also lead to greener scientific techniques.
Researchers at MIT have discovered a mathematical connection between quantum mechanics and classical physics, enabling the description of quantum behavior using everyday classical ideas. The team's findings shed light on phenomena such as the double-slit experiment, which has long been challenging to explain using classical tools.
A new machine-learning method detects sudden changes in fluid behavior, improving simulation capabilities for everyday applications like weather prediction and nuclear reactor safety. This enables faster design testing, real-time adjustments, and reduced computational burden.
The study reveals that no two sprinters look the same at full speed due to unique interactions between body, environment, and training history. By embracing movement variability and individuality, coaches can create learning environments that allow athletes to discover efficient techniques.
A new study reveals that offshore wind farms can create complex wake structures that interact with each other, affecting surface currents and sediment transport. The research suggests that turbines spaced farther apart can reduce turbulence caused by tidal wakes, leading to optimized wind farm designs.
A new study proposes a fluorescence-based strategy to track microplastics in real time as they move, transform, and degrade inside biological systems. This approach allows precise control over particle brightness, emission wavelength, size, and shape, enabling the tracking of microplastic life cycles from ingestion to breakdown.
A team of researchers has observed the Einstein–de Haas effect in a Bose–Einstein condensate, demonstrating the transfer of angular momentum from atomic spins to fluid motion. This finding highlights the conservation of angular momentum between microscopic spin and macroscopic mechanical rotation in the quantum world.
Researchers have made a groundbreaking discovery about how bacteria swim upstream to cause infections, pointing to new designs for biomedical devices that can prevent contamination. The study found that wider channels with faster counterflows are more prone to invasion, but sharp corner designs can inhibit bacterial growth.
Researchers have linked the vanishing of specific heats at absolute zero to the second law of thermodynamics, completing a 100-year-old problem. The study provides a 'classical' thermodynamic explanation for the phenomenon without requiring quantum physics.
A new mathematical framework, STIV, can predict larger-scale effects like proteins unfolding and crystals forming without costly simulations or experiments. The framework solves a 40-year-old problem in phase-field modeling, allowing for the design of smarter medicines and materials.
Thousands of scientists will gather to present new research on fluids at the 78th American Physical Society meeting. The conference features a scientific program with thousands of presentations on various fluid dynamics topics.
Researchers at Pohang University of Science & Technology experimentally demonstrated the existence of nanometer-sized liquid clusters in supercritical fluids, overturning the prevailing notion of a single phase. These clusters persisted for up to an hour and have significant implications for industrial processes and natural environments.
The European consortium, funded by €4.5M, will recruit and train 15 PhD researchers to develop new models and methods for understanding complex biological systems. The network, coordinated by the University of Edinburgh, aims to create a framework grounded in physics that can be applied systematically.
Researchers at Pohang University of Science & Technology have successfully synthesized Prussian Blue with an octahedral morphology by using a specialized solvent. The new crystal shape enhances electrochemical reactivity and stable performance in sodium-ion hybrid capacitors.
A team of Virginia Tech researchers has discovered new insights into blood thinners and bone builders, heparin. The findings may lead to designing safer and more reliable heparin therapies. Heparin's molecular composition affects its ability to bind calcium, influencing its effectiveness in biomineralization and blood clotting.
Researchers found that nonequilibrium thermodynamics explains why optimal transport theory is optimal in diffusion models, leading to robust data generation. The discovery offers a novel thermodynamic approach to machine learning research, particularly in image generation.
Researchers developed a universal approach to calculate liquid entropy using fundamental physical principles, achieving remarkable consistency with existing data. The new method predicts entropy accurately for various liquids, including sodium, and has significant implications for optimizing chemical reactions and material properties.
Researchers at Tohoku University developed a new framework for simulating nonlinear quantum dynamics, making it easier to understand and study complex quantum systems. The method uses time-evolution data to extract nonlinear response functions without requiring explicit multipoint correlations.
Researchers at Yokohama National University developed a new model explaining slow slips in stick-slip systems without relying on artificial friction laws. The Kelvin-Voigt viscoelastic toy model provides a novel scenario to explain the static friction paradox, which has remained unsolved for decades.
Researchers developed self-propelled ferroptosis nanoinducers to enhance cancer therapy by inducing programmed cell death. The nanotherapeutics exhibited enhanced diffusion and deep tumor penetration while maintaining biocompatibility.
A team of researchers from OIST studied the effect of growth on pattern development within squid skin cells, identifying a new physical phenomenon called 'hyperdisorder'. They created a general model applicable to various growing systems, highlighting the importance of growth on physical properties.
Researchers discovered that butterflies use body pitch to generate aerodynamic forces and sustain hovering flight. By adjusting their body angle, they counteract gravity and achieve stable flight. This finding could revolutionize the design of stealthy MAVs with low structural demands.
Kyushu University researchers have successfully recreated the fluid dynamics of flowing biological cells using numerical simulations. The study reveals that capsule position depends on deformation and pulsation frequency, enabling precise cell manipulation in research and potential applications in artificial heart development.
Cardiac arrhythmia disrupts heart rhythm due to malfunctioning electrical impulses. Rui Zhu plans to use deep-learning and computational simulations to model diseased hearts and understand multi-physical factors contributing to arrhythmic conditions.
Recent research at Shinshu University explores how molecular structure and geometry influence light emission in aggregation-induced emission molecules. The study reveals that changes in molecular shape affect emission behavior in both solution and solid states, enabling innovations in material design and energy interactions.
A hybrid method links bottom-up behaviors and top-down causation in a single theory to capture interactions between small-scale behaviors and system-level properties in disturbed systems. The approach has been tested in examples such as post-fire forest ecosystems and pandemics, predicting ecological patterns and system dynamics.
A team of MIT engineers developed an algorithm to identify causal links in complex systems, taking data from various sources and analyzing interactions between variables. The method generates a causality map linking variables with likely cause-and-effect relationships, including synergistic and redundant links.
Researchers found that silkworm moths scan pheromone sources by rotating their bodies while fanning, helping them detect odor plumes. The study offers valuable design principles for aerial robots, enabling more efficient search and localization of targets.
Researchers analyzed Van Gogh's painting to uncover hidden turbulence in the sky, aligning with cascading energy theory and Batchelor's scaling. This study reveals a deep understanding of natural phenomena, challenging existing definitions of turbulence.
Researchers use high-energy synchrotron X-ray to study spatter dynamics during LPBF, revealing links between vapour depression shape and spatter interactions. The study proposes strategies to minimize defects, improving the surface quality of LPBF-manufactured parts.
Scientists at Lehigh University are using mayonnaise to study Rayleigh-Taylor instability and its transition to a plastic regime. The researchers aim to better understand the physics of nuclear fusion through this unconventional approach.
Kyushu University researchers generalize fluid dynamics of volatile liquids using mathematical modeling and experimentation. Their findings can lead to more efficient product development in various liquid-based industries, including high-end electronics manufacturing and lab-on-a-chip disease diagnosis.
A novel machine learning approach reveals complex relationships between hotel service attributes and customer satisfaction, providing actionable insights. The study's IML-DAA model achieves unparalleled accuracy in predicting customer satisfaction, elucidating the impact of specific service attributes on overall guest contentment.
Researchers developed a new framework to understand small-scale turbulent flows, shedding light on the chaotic butterfly effect. The framework uses chaos theory and synchronization theory to explain the critical length scale, which affects data assimilation methods.
Researchers conducted pump-probe experiments to clarify the reaction mechanism and dynamic process of high explosives. The studies employed advanced techniques like dynamic flyer imaging, X-ray diffraction, and ultrafast dynamics, enabling the investigation of internal deformation, phase transition, and ultrafast dynamics.
Researchers develop a mathematical model that analyzes the future survival of plants in a changing climate by studying how far wind can carry seeds. The model provides fast and reliable predictions of seed movement, considering factors like seed type, plant height, and wind speed.
Researchers at MIT have discovered that the sounds produced by rocks under different pressures can reveal their depth and strength, helping scientists identify unstable regions below the surface. This new method could aid in drilling for geothermal energy and understanding the Earth's crust.
The 76th annual meeting of the American Physical Society's Division of Fluid Dynamics will bring together over 3,500 scientists from around the world to present new research on fluid dynamics. The conference will feature a scientific program with over 3,200 presentations and a gallery of fluid motion visual arts competition.
A team of researchers from The University of Tokyo created a computer simulation to study the phase separation of counter-rotating particles in a fluid. They found that nonlinear turbulent effects lead to the sudden separation of particles into regions of clockwise and counterclockwise collections.
Researchers from Cornell University and Clemson University conducted droplet experiments on the ISS to investigate larger droplets due to lower gravity, expanding the parameter space of the Davis-Hocking model. The results confirmed and expanded the model, providing insights into droplet dynamics.
A team of researchers has discovered how pore space geometry affects the transport of substances through complex porous media. By studying microchips with varying obstruction geometries, they found that branching and junctions play a crucial role in controlling the direction and speed of fluid flow.
Researchers studied how shrimp legs minimize drag while swimming and how fruit flies use flapping wings to 'sniff out' smells for navigation. They also explored how honeybees fly in windy conditions, finding that windy conditions don't affect flight performance but increase evasive maneuvers.
Studies investigate the impact of temperature, speed, and materials on chocolate fountain flow, as well as oil and vinegar separation in vinaigrettes. A framework also describes the fluid dynamics involved in squeezing sauces out of bottles.
Researchers at the University of Oldenburg have developed a new statistical model that accurately describes wind turbulence and generates fully three-dimensional wind fields using limited measurement points. This breakthrough enables precise wind turbine load estimation and improves wind farm planning, with applications in various fiel...
Research has found that extreme ocean waves can arise from modulation instability in multi-directional wave systems, challenging previous assumptions. The study demonstrates that crossing sea waves can trigger the formation of extreme waves, posing a growing risk to marine infrastructure and coastal communities due to climate change.
Researchers create new 'roadmap' for turbulence by analyzing weak turbulent flow between two independently rotating cylinders. They discover that turbulence follows a predictable pattern of recurrent solutions, which explain the emergence of coherent structures in turbulent flows.
John Kershner, a Lehigh University PhD candidate, has been awarded a Fulbright research grant to continue his work on owl-inspired aero-acoustics in Germany. He will collaborate with researchers at Brandenburg Technical University and the DLR to experimentally test these designs.
Concentrated solar power (CSP) plants use wet cooling methods to dissipate waste heat, but this can lead to significant water loss. A new study developed a radiative cooling system with cold storage that reduces water consumption by up to 85% in hot regions.
A team of scientists used a quantum simulator to study the behavior of a complex quantum system, finding that it exhibits characteristics similar to fluid dynamics. The research also showed that this phenomenon can be observed in the flights of bees, as well as in unusual stock market movements.
The study reveals significant information on the thermal properties of electric double-layer capacitors, which can help create safer and more reliable energy storage devices. The research team found that charging and discharging alter the heat capacity of EDLCs, leading to a decrease in capacitance.