#fluiddynamics — Public Fediverse posts

AI-Based Weather Forecasting Has Blind Spots

Traditional weather forecasting models are physics-based and rely on supercomputers. Practically speaking, this means that they start from the basic governing equations (like the Navier-Stokes equations) and use approximations to model aspects of the problem in order to make the physics solvable, given constraints on time, computational power, spatial resolution, and so on.

So-called AI models approach the problem differently, training a model on past weather conditions in order to predict future weather. In some respects, this approach is very successful; AI-based models require less computational infrastructure to run and, in recent years, have greatly improved their predictions of everyday weather.

However, these AI models do poorly when predicting extreme weather events, because their training data contain relatively few examples of these events. They show limited ability to extrapolate their predictions to more extreme events. But these events–like the unprecedented 2021 heatwave in the Pacific Northwest or many of the Category 5 hurricanes we’ve seen in the last decade–are happening increasingly often due to climate change. Those events will keep happening, more frequently, as warming continues. Physics-based models can predict and forecast these events in ways that AI-based models fail to because they are limited by their trained experiences.

Researchers are working to find ways to better equip AI-based models with more physical sense, but, as these models proliferate, it’s important for their users (and those of us using their forecasts) to know what their current weaknesses are. (Image credit: B. McGowan; research credit: Y. Sun et al.; see also S. Nath and T. Palmer; via Gizmodo)

The LIMA pump is a pea-sized, lightweight fluid pump that utilizes liquid metal to convert electrical energy into fluid motion. It serves as an efficient, ultra-compact power source for next-generation soft robotics and adaptive wearable materials.
#SoftRobotics #ElectromechanicalEngineering #FluidDynamics #Magnetohydrodynamics #sflorg
https://www.sflorg.com/2026/05/eng05272601.html

Blue Jewels and Gray Haze

Beginning in early spring, brilliant blue ponds form on Greenland’s ice sheets as meltwater gathers in indentations. This satellite image shows the ice east of Nordenskiöld Glacier, which is the tongue of ice projecting on the left side of the image. The center region of ice is darker, marked by soot, ash, and dirt left behind after previous ice layers have melted. These darker remains make the ice less reflective to sunlight; with less reflectivity, the ice absorbs more sunlight, melting faster. (Image credit: M. Garrison/NASA Earth Observatory)

Predicting Volcanic Eruptions

People have long hoped to reliably predict volcanic eruptions. An automated system at Piton de la Fournaise in France has been doing so since 2014 with an impressive 92% accuracy. The tool, called Jerk, makes its predictions based on real-time measurements of subtle ground movements associated with magma fracturing rock on its way to the surface. Its predictions have ranged from minutes to hours before the start of an eruption.

So far, the team has only tested the system at one volcano, but they are working to install a second version at Mount Etna, where they’ll see whether other volcanoes produce a similar signal ahead of eruption. If so, Jerk could provide valuable warnings in populated areas and give geologists an automated alternative for monitoring remote volcanoes.

To learn more, check out the team’s open access paper and this interview with the team leaders over at Gizmodo. (Image credit: F. Beauducel; research credit: F. Beauducel et al.; via Gizmodo)

Herring Spawn

From mid-February to early May, tiny silvery Pacific herring gather along the shallow coastlines of Vancouver Island off British Columbia, Canada. In these sheltered waters, they spawn; female fish produce sticky eggs and males flood the area with milt, which turns the water a milky turquoise or green. The colors can be so vivid that the spawn is visible to satellites.

Barkley Sound, on the island’s southwestern side, frequently hosts spawning, as its rocky shoreline provides protection and the pockets of lower salinity that the fish favor. After spawning, the fish migrate back to their feeding grounds in deeper, nutrient-rich waters. (Image credit: R. Cutler; via NASA Earth Observatory)

NASA and Rocket Lab May Figure Out In-Space Fueling Before SpaceX Does

Space is hard. Tasks as simple as “filling up the tank” here on Earth become complex exercises in…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Space #cryogenicfuel #Fluiddynamics #liquidmethane #liquidoxygen #NASA #Orionspacecraft #RocketLab #Science #SpaceXStarship
https://www.newsbeep.com/us/663733/

NASA and Rocket Lab May Figure Out In-Space Fueling Before SpaceX Does

Space is hard. Tasks as simple as “filling up the tank” here on Earth become complex exercises in…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Space #cryogenicfuel #Fluiddynamics #liquidmethane #liquidoxygen #NASA #Orionspacecraft #RocketLab #Science #SpaceXStarship
https://www.newsbeep.com/us/663733/

https://www.europesays.com/ie/500939/ NASA and Rocket Lab May Figure Out In-Space Fueling Before SpaceX Does #CryogenicFuel #Éire #FluidDynamics #IE #Ireland #LiquidMethane #LiquidOxygen #nasa #OrionSpacecraft #RocketLab #Science #Space #SpaceXStarship

Understanding Pollen Dispersal

When the wind blows, trees shift and sway, reconfiguring their shape and their leaves in response. For parts of the year, that flow can also pluck pollen grains off the tree, carrying them on the winds. A new computational simulation models this pollen dispersal from a tree, with the aim of eventually integrating into a tool for urban planners.

Trees are an important component to fighting climate change, especially in cities, because they cool their surroundings in addition to providing fresh oxygen. But urban planners recognize the downsides to trees, too–allergies, anyone?–and, with the right tools, they could maximize the trees’ advantages while minimizing pollen spread for allergy-sufferers. (Image credit: M. Köles; research credit: T. Dbouk et al.; via Physics World)

Understanding Pollen Dispersal

When the wind blows, trees shift and sway, reconfiguring their shape and their leaves in response. For parts of the year, that flow can also pluck pollen grains off the tree, carrying them on the winds. A new computational simulation models this pollen dispersal from a tree, with the aim of eventually integrating into a tool for urban planners.

Trees are an important component to fighting climate change, especially in cities, because they cool their surroundings in addition to providing fresh oxygen. But urban planners recognize the downsides to trees, too–allergies, anyone?–and, with the right tools, they could maximize the trees’ advantages while minimizing pollen spread for allergy-sufferers. (Image credit: M. Köles; research credit: T. Dbouk et al.; via Physics World)

Understanding Pollen Dispersal

When the wind blows, trees shift and sway, reconfiguring their shape and their leaves in response. For parts of the year, that flow can also pluck pollen grains off the tree, carrying them on the winds. A new computational simulation models this pollen dispersal from a tree, with the aim of eventually integrating into a tool for urban planners.

Trees are an important component to fighting climate change, especially in cities, because they cool their surroundings in addition to providing fresh oxygen. But urban planners recognize the downsides to trees, too–allergies, anyone?–and, with the right tools, they could maximize the trees’ advantages while minimizing pollen spread for allergy-sufferers. (Image credit: M. Köles; research credit: T. Dbouk et al.; via Physics World)

Understanding Pollen Dispersal

When the wind blows, trees shift and sway, reconfiguring their shape and their leaves in response. For parts of the year, that flow can also pluck pollen grains off the tree, carrying them on the winds. A new computational simulation models this pollen dispersal from a tree, with the aim of eventually integrating into a tool for urban planners.

Trees are an important component to fighting climate change, especially in cities, because they cool their surroundings in addition to providing fresh oxygen. But urban planners recognize the downsides to trees, too–allergies, anyone?–and, with the right tools, they could maximize the trees’ advantages while minimizing pollen spread for allergy-sufferers. (Image credit: M. Köles; research credit: T. Dbouk et al.; via Physics World)

Understanding Pollen Dispersal

When the wind blows, trees shift and sway, reconfiguring their shape and their leaves in response. For parts of the year, that flow can also pluck pollen grains off the tree, carrying them on the winds. A new computational simulation models this pollen dispersal from a tree, with the aim of eventually integrating into a tool for urban planners.

Trees are an important component to fighting climate change, especially in cities, because they cool their surroundings in addition to providing fresh oxygen. But urban planners recognize the downsides to trees, too–allergies, anyone?–and, with the right tools, they could maximize the trees’ advantages while minimizing pollen spread for allergy-sufferers. (Image credit: M. Köles; research credit: T. Dbouk et al.; via Physics World)

Setting the Stripes on a Tiger (Cake)

A tiger skin cake forms a distinctive pattern of light and dark patches as it bakes. Its current popularity seems to have expanded outward from China; I found a lot of Swiss-roll-style recipes that use it as an outer wrapper. Here, researchers look at how the wrinkled surface forms. The viscous batter quickly forms a solid skin on its surface, and, as the cake grows, the skin is forced to bend and wrinkle to accommodate the growth. Interestingly, the length-scale of the wrinkling pattern depends on the batter’s depth. For larger stripes, use a thicker layer of batter! (Image credit: K. Koutova et al.)

Waves on Other Planets

On Earth, most waves form when wind blows across the water. The shear and added energy from the wind ripples the surface, eventually building up waves (through the Kelvin-Helmholtz instability). The same process should happen anywhere else where wind and open liquid surfaces meet–even on other planets. To explore this, researchers built a new model, PlanetWaves, that predicts the waves based on a planet’s gravity, atmospheric conditions, and the density, viscosity, and surface tension of its surface liquid.

After validating the model with conditions on Earth, the team explored wave conditions for Titan, ancient Mars, and several exoplanets. They found that Titan’s lighter gravity and liquid ethane (which is less dense than water) combined to make waves on Titan much taller than those generated at the same wind speed on Earth (top image). You can watch them in action in the video below. Standing in a light breeze on Titan, you’d watch giant 3-meter waves rolling in.

The team also found that waves on Mars would have gotten shorter as Mars lost its atmosphere and the air pressure dropped. Over time, the same wind speed would have elicited smaller and smaller waves. Wave action has a big effect on a landscape’s erosion, so understanding how waves look on other planets will help us parse their geography. (Video, image, and research credit: U. Schneck et al.; via MIT News; submitted by Joseph S.)

https://www.youtube.com/watch?v=6kECVsTTetM

Waves on Other Planets

On Earth, most waves form when wind blows across the water. The shear and added energy from the wind ripples the surface, eventually building up waves (through the Kelvin-Helmholtz instability). The same process should happen anywhere else where wind and open liquid surfaces meet–even on other planets. To explore this, researchers built a new model, PlanetWaves, that predicts the waves based on a planet’s gravity, atmospheric conditions, and the density, viscosity, and surface tension of its surface liquid.

After validating the model with conditions on Earth, the team explored wave conditions for Titan, ancient Mars, and several exoplanets. They found that Titan’s lighter gravity and liquid ethane (which is less dense than water) combined to make waves on Titan much taller than those generated at the same wind speed on Earth (top image). You can watch them in action in the video below. Standing in a light breeze on Titan, you’d watch giant 3-meter waves rolling in.

The team also found that waves on Mars would have gotten shorter as Mars lost its atmosphere and the air pressure dropped. Over time, the same wind speed would have elicited smaller and smaller waves. Wave action has a big effect on a landscape’s erosion, so understanding how waves look on other planets will help us parse their geography. (Video, image, and research credit: U. Schneck et al.; via MIT News; submitted by Joseph S.)

https://www.youtube.com/watch?v=6kECVsTTetM

Waves on Other Planets

On Earth, most waves form when wind blows across the water. The shear and added energy from the wind ripples the surface, eventually building up waves (through the Kelvin-Helmholtz instability). The same process should happen anywhere else where wind and open liquid surfaces meet–even on other planets. To explore this, researchers built a new model, PlanetWaves, that predicts the waves based on a planet’s gravity, atmospheric conditions, and the density, viscosity, and surface tension of its surface liquid.

After validating the model with conditions on Earth, the team explored wave conditions for Titan, ancient Mars, and several exoplanets. They found that Titan’s lighter gravity and liquid ethane (which is less dense than water) combined to make waves on Titan much taller than those generated at the same wind speed on Earth (top image). You can watch them in action in the video below. Standing in a light breeze on Titan, you’d watch giant 3-meter waves rolling in.

The team also found that waves on Mars would have gotten shorter as Mars lost its atmosphere and the air pressure dropped. Over time, the same wind speed would have elicited smaller and smaller waves. Wave action has a big effect on a landscape’s erosion, so understanding how waves look on other planets will help us parse their geography. (Video, image, and research credit: U. Schneck et al.; via MIT News; submitted by Joseph S.)

https://www.youtube.com/watch?v=6kECVsTTetM

Waves on Other Planets

On Earth, most waves form when wind blows across the water. The shear and added energy from the wind ripples the surface, eventually building up waves (through the Kelvin-Helmholtz instability). The same process should happen anywhere else where wind and open liquid surfaces meet–even on other planets. To explore this, researchers built a new model, PlanetWaves, that predicts the waves based on a planet’s gravity, atmospheric conditions, and the density, viscosity, and surface tension of its surface liquid.

After validating the model with conditions on Earth, the team explored wave conditions for Titan, ancient Mars, and several exoplanets. They found that Titan’s lighter gravity and liquid ethane (which is less dense than water) combined to make waves on Titan much taller than those generated at the same wind speed on Earth (top image). You can watch them in action in the video below. Standing in a light breeze on Titan, you’d watch giant 3-meter waves rolling in.

The team also found that waves on Mars would have gotten shorter as Mars lost its atmosphere and the air pressure dropped. Over time, the same wind speed would have elicited smaller and smaller waves. Wave action has a big effect on a landscape’s erosion, so understanding how waves look on other planets will help us parse their geography. (Video, image, and research credit: U. Schneck et al.; via MIT News; submitted by Joseph S.)

https://www.youtube.com/watch?v=6kECVsTTetM

Waves on Other Planets

On Earth, most waves form when wind blows across the water. The shear and added energy from the wind ripples the surface, eventually building up waves (through the Kelvin-Helmholtz instability). The same process should happen anywhere else where wind and open liquid surfaces meet–even on other planets. To explore this, researchers built a new model, PlanetWaves, that predicts the waves based on a planet’s gravity, atmospheric conditions, and the density, viscosity, and surface tension of its surface liquid.

After validating the model with conditions on Earth, the team explored wave conditions for Titan, ancient Mars, and several exoplanets. They found that Titan’s lighter gravity and liquid ethane (which is less dense than water) combined to make waves on Titan much taller than those generated at the same wind speed on Earth (top image). You can watch them in action in the video below. Standing in a light breeze on Titan, you’d watch giant 3-meter waves rolling in.

The team also found that waves on Mars would have gotten shorter as Mars lost its atmosphere and the air pressure dropped. Over time, the same wind speed would have elicited smaller and smaller waves. Wave action has a big effect on a landscape’s erosion, so understanding how waves look on other planets will help us parse their geography. (Video, image, and research credit: U. Schneck et al.; via MIT News; submitted by Joseph S.)

https://www.youtube.com/watch?v=6kECVsTTetM

Droplet impacts on superheated surfaces do not cool smoothly. This study shows a nonlinear shift driven by vapor film dynamics.

Above a critical impact velocity, heat transfer jumps sharply, revealing a threshold behavior linked to the Leidenfrost regime.

https://doi.org/10.1063/5.0320873

#HeatTransfer #FluidDynamics #Leidenfrost #Cooling #Physics

Droplet impacts on superheated surfaces do not cool smoothly. This study shows a nonlinear shift driven by vapor film dynamics.

Above a critical impact velocity, heat transfer jumps sharply, revealing a threshold behavior linked to the Leidenfrost regime.

https://doi.org/10.1063/5.0320873

#HeatTransfer #FluidDynamics #Leidenfrost #Cooling #Physics

Droplet impacts on superheated surfaces do not cool smoothly. This study shows a nonlinear shift driven by vapor film dynamics.

Above a critical impact velocity, heat transfer jumps sharply, revealing a threshold behavior linked to the Leidenfrost regime.

https://doi.org/10.1063/5.0320873

#HeatTransfer #FluidDynamics #Leidenfrost #Cooling #Physics

Droplet impacts on superheated surfaces do not cool smoothly. This study shows a nonlinear shift driven by vapor film dynamics.

Above a critical impact velocity, heat transfer jumps sharply, revealing a threshold behavior linked to the Leidenfrost regime.

https://doi.org/10.1063/5.0320873

#HeatTransfer #FluidDynamics #Leidenfrost #Cooling #Physics

Droplet impacts on superheated surfaces do not cool smoothly. This study shows a nonlinear shift driven by vapor film dynamics.

Above a critical impact velocity, heat transfer jumps sharply, revealing a threshold behavior linked to the Leidenfrost regime.

https://doi.org/10.1063/5.0320873

#HeatTransfer #FluidDynamics #Leidenfrost #Cooling #Physics

Here's the "downwash" effect of the tutorial I made in action:
youtu.be/oSJJPguQVJk

Of course rendered in #Octane

I stole the laser light animation from another video of mine 😇
https://youtu.be/FmGthbW6JwM

#Maxon #fluiddynamics #c4d #simulation

Here's the "downwash" effect of the tutorial I made in action:
youtu.be/oSJJPguQVJk

Of course rendered in #Octane

I stole the laser light animation from another video of mine 😇
https://youtu.be/FmGthbW6JwM

#Maxon #fluiddynamics #c4d #simulation

Here's the "downwash" effect of the tutorial I made in action:
youtu.be/oSJJPguQVJk

Of course rendered in #Octane

I stole the laser light animation from another video of mine 😇
https://youtu.be/FmGthbW6JwM

#Maxon #fluiddynamics #c4d #simulation

Here's the "downwash" effect of the tutorial I made in action:
youtu.be/oSJJPguQVJk

Of course rendered in #Octane

I stole the laser light animation from another video of mine 😇
https://youtu.be/FmGthbW6JwM

#Maxon #fluiddynamics #c4d #simulation

Here's the "downwash" effect of the tutorial I made in action:
youtu.be/oSJJPguQVJk

Of course rendered in #Octane

I stole the laser light animation from another video of mine 😇
https://youtu.be/FmGthbW6JwM

#Maxon #fluiddynamics #c4d #simulation

What does life inside #LeidenForce look like? | April 26

• Discover #research content from Vahid, Pablo, Gauri & Cheikh
→ https://www.instagram.com/leidenforce/

• Our homepage now features a dedicated space for our PhD researchers
→ https://www.leidenforce.eu

• Discover a new interview series focused on the research perspectives of our #PhDStudents.
→ https://www.youtube.com/@LeidenForce

• Follow our #ScientificWatch:
Bluesky → https://bsky.app/profile/leidenforce.bsky.social | Fb → https://www.facebook.com/profile.php?id=61574578900462

📷 UPPA
#FluidDynamics #HorizonEU #MSCA

https://open.substack.com/pub/brandonbedard/p/the-fluidic-space-time-series-part-e4d?utm_source=share&utm_medium=android&r=7qos2e

#AI #science #physics #astrophysics #writing #history #space #fluiddynamics #business #economics #politics #policy

https://open.substack.com/pub/brandonbedard/p/the-fluidic-space-time-series-part-e4d?utm_source=share&utm_medium=android&r=7qos2e

#AI #science #physics #astrophysics #writing #history #space #fluiddynamics #business #economics #politics #policy

https://open.substack.com/pub/brandonbedard/p/the-fluidic-space-time-series-part-e4d?utm_source=share&utm_medium=android&r=7qos2e

#AI #science #physics #astrophysics #writing #history #space #fluiddynamics #business #economics #politics #policy

https://open.substack.com/pub/brandonbedard/p/the-fluidic-space-time-series-part-e4d?utm_source=share&utm_medium=android&r=7qos2e

#AI #science #physics #astrophysics #writing #history #space #fluiddynamics #business #economics #politics #policy

https://open.substack.com/pub/brandonbedard/p/the-fluidic-space-time-series-part-e4d?utm_source=share&utm_medium=android&r=7qos2e

#AI #science #physics #astrophysics #writing #history #space #fluiddynamics #business #economics #politics #policy

Supersonic Jet Interaction

When supersonic jets get emitted into rarefied air, they behave differently than they do in regular atmospheric conditions. Here, researchers picture three different configurations these jets can take. In the top image, the jets are close enough together that they appear to merge into a narrow supersonic jet. In the middle image, the jets are not quite as close together. They merge but form what appears to be a subsonic wake. In the final image, the jets are far enough apart that they don’t merge, although they do appear to “lean in” toward one another. (Image credit: S. Lee et al.)

Supersonic Jet Interaction

When supersonic jets get emitted into rarefied air, they behave differently than they do in regular atmospheric conditions. Here, researchers picture three different configurations these jets can take. In the top image, the jets are close enough together that they appear to merge into a narrow supersonic jet. In the middle image, the jets are not quite as close together. They merge but form what appears to be a subsonic wake. In the final image, the jets are far enough apart that they don’t merge, although they do appear to “lean in” toward one another. (Image credit: S. Lee et al.)

Supersonic Jet Interaction

When supersonic jets get emitted into rarefied air, they behave differently than they do in regular atmospheric conditions. Here, researchers picture three different configurations these jets can take. In the top image, the jets are close enough together that they appear to merge into a narrow supersonic jet. In the middle image, the jets are not quite as close together. They merge but form what appears to be a subsonic wake. In the final image, the jets are far enough apart that they don’t merge, although they do appear to “lean in” toward one another. (Image credit: S. Lee et al.)

Supersonic Jet Interaction

When supersonic jets get emitted into rarefied air, they behave differently than they do in regular atmospheric conditions. Here, researchers picture three different configurations these jets can take. In the top image, the jets are close enough together that they appear to merge into a narrow supersonic jet. In the middle image, the jets are not quite as close together. They merge but form what appears to be a subsonic wake. In the final image, the jets are far enough apart that they don’t merge, although they do appear to “lean in” toward one another. (Image credit: S. Lee et al.)

Supersonic Jet Interaction

When supersonic jets get emitted into rarefied air, they behave differently than they do in regular atmospheric conditions. Here, researchers picture three different configurations these jets can take. In the top image, the jets are close enough together that they appear to merge into a narrow supersonic jet. In the middle image, the jets are not quite as close together. They merge but form what appears to be a subsonic wake. In the final image, the jets are far enough apart that they don’t merge, although they do appear to “lean in” toward one another. (Image credit: S. Lee et al.)

Seeing Stress in an Avalanche

Researchers sometimes study avalanches and other granular flows in a rolling drum, where grains can cascade down continuously. Here, the twist is that they’ve done it with photoelastic disks, which show stress patterns when viewed under crossed polarizing filters.

In any given moment, the contacts between neighboring particles form a force chain that lights up the disks. In motion, the effect resembles lightning forking and branching across the sky. The close-ups of stress reverberating during impact are especially mesmerizing. (Video and image credit: R. Hodgson et al.)

Seeing Stress in an Avalanche

Researchers sometimes study avalanches and other granular flows in a rolling drum, where grains can cascade down continuously. Here, the twist is that they’ve done it with photoelastic disks, which show stress patterns when viewed under crossed polarizing filters.

In any given moment, the contacts between neighboring particles form a force chain that lights up the disks. In motion, the effect resembles lightning forking and branching across the sky. The close-ups of stress reverberating during impact are especially mesmerizing. (Video and image credit: R. Hodgson et al.)

Seeing Stress in an Avalanche

Researchers sometimes study avalanches and other granular flows in a rolling drum, where grains can cascade down continuously. Here, the twist is that they’ve done it with photoelastic disks, which show stress patterns when viewed under crossed polarizing filters.

In any given moment, the contacts between neighboring particles form a force chain that lights up the disks. In motion, the effect resembles lightning forking and branching across the sky. The close-ups of stress reverberating during impact are especially mesmerizing. (Video and image credit: R. Hodgson et al.)

Seeing Stress in an Avalanche

Researchers sometimes study avalanches and other granular flows in a rolling drum, where grains can cascade down continuously. Here, the twist is that they’ve done it with photoelastic disks, which show stress patterns when viewed under crossed polarizing filters.

In any given moment, the contacts between neighboring particles form a force chain that lights up the disks. In motion, the effect resembles lightning forking and branching across the sky. The close-ups of stress reverberating during impact are especially mesmerizing. (Video and image credit: R. Hodgson et al.)

Seeing Stress in an Avalanche

Researchers sometimes study avalanches and other granular flows in a rolling drum, where grains can cascade down continuously. Here, the twist is that they’ve done it with photoelastic disks, which show stress patterns when viewed under crossed polarizing filters.

In any given moment, the contacts between neighboring particles form a force chain that lights up the disks. In motion, the effect resembles lightning forking and branching across the sky. The close-ups of stress reverberating during impact are especially mesmerizing. (Video and image credit: R. Hodgson et al.)

A new AI approach, trained on physical equations, allows identifying the moment when a stable flow becomes unstable.

Machine learning could transform simulations in engineering, weather, and extreme events.

🔗 https://phys.org/news/2026-04-ai-method-flags-fluid-simulations.html

#FluidDynamics #MachineLearning #ComputationalPhysics #Bifurcation #leidenfrost

A new AI approach, trained on physical equations, allows identifying the moment when a stable flow becomes unstable.

Machine learning could transform simulations in engineering, weather, and extreme events.

🔗 https://phys.org/news/2026-04-ai-method-flags-fluid-simulations.html

#FluidDynamics #MachineLearning #ComputationalPhysics #Bifurcation #leidenfrost

A useful reminder in fluid mechanics: maximizing velocity is not the same as maximizing momentum or energy transfer. This paper explores how global mass balance constrains synthetic jet actuator performance.

🔗 https://doi.org/10.1063/5.0326035

#FluidDynamics #Physics #FlowControl #SyntheticJets #NonlinearDynamics

Jets From Impact

When a test tube of liquid hits a surface, the curvature of the meniscus focuses the rebounding fluid into a jet. In this video, researchers show some of the many variations they’ve explored on these experiments–from changing the depth of the fluid and the shape of the container, to changing the working fluid to honey or to dry grains. It’s a nice introduction to a fascinating phenomenon! (Video and image credit: H. Watanabe et al.; research credit: H. Watanabe et al. and K. Kobayashi et al.)

Jets From Impact

When a test tube of liquid hits a surface, the curvature of the meniscus focuses the rebounding fluid into a jet. In this video, researchers show some of the many variations they’ve explored on these experiments–from changing the depth of the fluid and the shape of the container, to changing the working fluid to honey or to dry grains. It’s a nice introduction to a fascinating phenomenon! (Video and image credit: H. Watanabe et al.; research credit: H. Watanabe et al. and K. Kobayashi et al.)