Articles tagged with Fluid Dynamics
Researchers are using AI to model complex turbulent flows, including wind, aerosols, and combustion, to quantify uncertainty in foundation models. The project aims to create a physics-constrained AI foundation model for complex flows important to energy systems.
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.
Roll waves play a crucial role in hydraulic engineering, but current design standards overlook their formation. Researchers at Kyoto University discovered a fundamental flaw in existing standards, revealing the importance of understanding unsteady flows like roll waves.
A new study reveals that collisions between individual pieces of Arctic sea ice provide a simple explanation for its movement, which could help scientists predict its transport as the Arctic warms. The study's framework may also be applied to other systems involving many objects colliding in unpredictable environments.
Scientists developed laser-carved microvalves to protect fragile brain catheters from backflow, enabling smooth delivery of therapies. The valves regulate fluid flow through geometry without moving parts, suppressing reverse pressure surges by up to 82%.
Researchers have developed a method to print three-dimensional structures in ice using evaporative cooling, which also regulates body temperature. The technique allows for printing arbitrary profiles without additional support, with applications in biology and microfluidics.
The HydroGym platform uses reinforcement learning to train AI agents for actively controlling fluid flows, reducing drag and friction by up to 65%. The platform enables the systematic study of complex flows and improves the efficiency of airplanes, wind turbines, and other applications.
Researchers created a 3D model of the upper airway to study snoring, finding that unsteady airflow across soft tissues produces the loudest sounds. Reducing soft palate vibration may help reduce palatal snoring, suggesting potential solutions for anti-snoring treatments.
Researchers at Hanbat National University developed a hybrid physics-informed neural network framework for optimization of latent heat thermal energy storage systems. The framework enables rapid, autonomous design optimization by teaching the AI model governing laws of physics.
Researchers at Brown University have developed an aerodynamic model that simulates the forces at play when birds fly in a V formation. The model shows that birds experience an 11% reduction in mechanical power needed for flight due to reduced wing flapping, leading to significant energy savings.
A research group at Tohoku University has overturned the long-standing assumption that smoother surfaces produce less aerodynamic drag. By applying Distributed Micro-Roughness, they achieved a world-first experimental demonstration of up to 43.6% drag reduction.
Researchers create tiny swimmers to deliver drugs through the human body, finding they reverse direction in non-Newtonian fluids like mucus and blood. This discovery enhances understanding of fluid behavior and could lead to targeted drug delivery.
Researchers examine the flow physics and modeling challenges governing EUV sources, highlighting the importance of debris control and multiscale fluid dynamics. The study aims to provide a common framework for laser-plasma and fluid mechanics communities, supporting future advances in EUV source performance.
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.
A recent study using motion-capture and particle image velocimetry reveals that the flutter kick generates three-dimensional vortex structures contributing to forward propulsion. The alternating leg movements also produce asymmetric vortices, generating rolling and yaw moments that stabilize body posture during swimming.
A new approach combines MRI scans and AI tools to measure fluid flow in the brain, shedding light on the glymphatic system’s mechanics. The study reveals two main ways the system washes away particles, with one way moving faster than the other.
Research by University of Warsaw scientists reveals the impact of marine snow on the ocean's carbon cycle and global warming. The study models the collision frequency of these 'snowflakes' to determine their sinking rate, which transports vast amounts of carbon from the surface to the depths.
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.
The new computational violin simulates the physics of string interaction with air, producing realistic sound. Luthiers can tweak parameters like wood type or body thickness before hearing the instrument's response.
High-speed particles bounce higher on wet walls due to a morphological transition in the post-collision liquid film, which shifts from a bridge to a dome shape. This phenomenon is crucial for predicting high-speed particle collisions and designing safer equipment.
A team of researchers from The University of Osaka used supercomputer simulations to study how vortices generated by dolphin kicks power fast swimming. They found that large, powerful vortices created by the movement of the dolphin's tail are responsible for most of the propulsion, while smaller ones contribute little to forward motion.
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.
Scientists at MIT have developed a new wave model called PlanetWaves that predicts how waves will behave on planetary bodies with different liquids, atmospheres, and gravity. The model reveals that gentle winds can create massive waves on Titan, while hurricane-force winds barely move the surface of lakes on exoplanet 55-Cancri e.
Drexel researchers have found that, given the right strain rate, simple liquids can fracture like solid objects. This discovery suggests that viscosity plays a more significant role in the mechanical properties of liquids than previously thought, potentially leading to new possibilities for manipulating liquids in various applications.
Researchers at OIST and University of Turin developed a general formulation for mixing heavy particles with fluid, enabling study of fundamental physics phenomena and applied research in fluid engineering. Simulations reveal the formation of sediment plumes and the role of friction in particle interactions.
Researchers at IBEC have developed a compact, cost-effective NMR platform capable of direct observation of dynamic metabolic fluxes in microfluidic systems. This technology leverages hyperpolarization to bridge the gap between high-field NMR performance and lab-on-chip analysis.
A team of researchers developed a computational model to study how pollen disperses in urban areas, influenced by factors such as tree geometry, wind speed, and direction. The model provides quantitative insight to inform urban planning decisions and reduce the risks associated with airborne allergenic pollen exposure.
Researchers developed a model to calculate snow accumulation on roofs, considering snowflake size and distribution. Larger snow particles lead to greater accumulation, while higher wind speeds reduce depth. The study provides insights for building codes and guidelines for snow loading.
Researchers found that low-viscosity liquids like milk take around 30 seconds to drain 90% of a thin film, while more viscous fluids like olive oil require over nine minutes. The study provides insight into everyday physics and its applications in the kitchen.
Researchers from The University of Osaka developed a novel device to harness wave power, achieving high energy absorption efficiency across broadband frequencies. By tuning gyroscopic parameters, the device can maximize performance, providing a roadmap for developing adaptable and efficient wave energy converters.
Researchers used the Frontier supercomputer to perform a record-breaking direct numerical simulation of turbulence in three dimensions, achieving a resolution of 35 trillion grid points. The study offers new insights into turbulent fluid flows, which govern various natural and engineered phenomena.
A recent NSF grant will support the development of new diagnostics and predictive models for understanding self-competition and weak asymmetry in turbulent flows. The project aims to uncover hidden patterns that current models miss, leading to improved simulations in weather forecasting, climate modeling, and engineering design.
Researchers discovered that only observing the flow down to a specific scale is enough to reconstruct the full motion of fluid in two-dimensional turbulence, unlike three-dimensional systems. This finding has significant implications for modeling and prediction in atmospheric and ocean circulation.
Researchers develop a probabilistic framework to predict turbulence onset in flow systems, enabling better forecasting of extreme weather events and understanding climate tipping points. This approach has potential implications for atmospheric science, aviation, and meteorology.
Physicists at MIT observed clear signs that quarks create wakes as they speed through the plasma, confirming the plasma behaves like a liquid. This finding provides new insights into the properties of the quark-gluon plasma and its behavior in the early universe.
The RT-FLOW project aims to transform aerodynamic experiments with compact, cost-effective hardware and real-time flow field measurements. It will define requirements for a fast visualization platform and tackle challenges in data-driven spatial resolution enhancement.
Direct-ink writing (DIW) technology faces unique physics puzzles, requiring a balance between liquid-like and solid-like behavior. The review aims to stimulate fundamental work on the central challenges of DIW, enabling more reliable and precise processes.
Scientists from Tokyo Metropolitan University have re-engineered the Lattice-Boltzmann Method to store certain data, reducing memory usage and overcoming a key bottleneck. The new algorithm achieves significant accuracy and stability in simulations of fluids and heat.
Researchers developed a reduced order model that accelerates calculations by identifying key features in flow data, enabling faster testing of geometry parameters for efficiency gains. The team plans to make their extensive database and model available online for other research groups.
Researchers at Waseda University have demonstrated a transformative approach for realizing skyrmion logic based on fluidic principles, utilizing the flow behavior of many skyrmions to simplify device operations. This breakthrough enables the development of nanofluidic logic gates with reduced complexity and improved stability.
A new physics-based approach predicts how lightning strikes aircraft, identifying vulnerable regions for protection. The tool can be applied to any shape of aircraft, including unconventional designs.
The scientific program features nearly 300 sessions and thousands of presentations on various fluid dynamics topics. The conference will also include a visual arts competition, Gallery of Fluid Motion, with a traveling exhibit on display until January 2026.
University of Queensland researchers have developed a microscopic 'ocean' on a silicon chip, allowing for the study of wave dynamics at an unprecedented scale. The device, made with superfluid helium, enables the observation of striking phenomena, including waves that lean backward and shock fronts.
Computational models now accurately represent very weak shock waves, which are crucial in flows involving shock waves. The final state of a moving shock wave can be classified into three regimes: dissipated, transitional and thinly captured.
Researchers from Poland, USA, and Slovenia found a mathematical description of stalagmite shapes, revealing that shape matters for climate science. The study provides an analytical solution for the growth of ideal stalagmites in constant cave conditions.
The University of Gothenburg will acquire a new AUV, named Ran II, with improved navigation and emergency response systems. The new vessel will enable researchers to gather unique data on glacier melting and ice dynamics in the Baltic Sea and Antarctica.
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.
Scientists at MIT developed a method to predict how plasma in a tokamak will behave during rampdown, achieving high accuracy with limited data. This new model could significantly improve the safety and reliability of future fusion power plants.
A new study reveals that small electric charges between particles play a crucial role in forming highly concentrated clusters in turbulent environments. This discovery has significant implications for climate research, medicine, engineering, and science, enabling better predictions and controls.
UC San Diego researchers Guru K. Jayasingh and Nigel Goldenfeld have predicted that a pipe's curvature can lead to a discontinuous turbulent transition beyond a critical flow velocity. This phenomenon is mathematically equivalent to the freezing of water, leveraging tricritical directed percolation theory.
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.
Tayfun Tezduyar's space-time computational flow analysis enables accurate modeling of complex systems, from designing parachutes for astronauts to simulating blood flow through heart valves. The approach provides high-fidelity representations in both space and time, allowing for more realistic solutions.
Researchers uncover how cerebrospinal fluid dynamics drive tumour spread, identifying a way to target this process to inhibit metastasis. The study provides new insights into the role of fluid shear stress in shaping cancer behaviour and offers a promising therapeutic approach for medulloblastoma.
A new study led by Professor Jonghun Kam predicts that Pakistan will experience major floods and severe droughts on a periodic basis, exacerbated by accelerating global warming. The AI model forecasts these extreme weather events every 15 years for the upper Indus River, and roughly every 11 years for surrounding rivers.
Researchers at Max Planck Institute develop protocols for optimal mixing in cellular and microfluidic systems, overcoming energetic and fluid motion limitations. Their findings reveal a fundamental limit on information erasure efficiency, providing a theoretical framework for efficient engineering designs.
Researchers at OIST have found that two types of turbulence coexist in everyday fluids like shampoos and ketchup, shifting from inertial to elastic turbulence at the smallest scales. This discovery bridges two branches of turbulence research and has potential implications for industries relying on polymers.
A team of researchers has confirmed Kolmogorov scaling in bubble-induced turbulence, revealing the fundamental rules of chaotic flows in fluids. The study provides new insights into the behavior of turbulent fluid motion and its applications in industrial designs, climate models, and more.
A team of researchers led by undergraduate physics majors at UMass Amherst modeled how aerosol plumes spread when people are waiting and walking in a line. They found that warm air rises, causing the plumes to sink, but temperatures can affect their height. The study sharpens our understanding of airborne-communicable diseases travel.
Bioengineers at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a computational model called BrainFlow that simulates cerebrospinal fluid flow in the presence of shunt implants, providing insight into optimal shunt design and placement for hydrocephalus patients.