From fluid interfaces to thermal extremes, modern physics increasingly relies on crossing disciplinary boundaries to make sense of complex phenomena.
🔗 https://physicsworld.com/a/why-interdisciplinary-science-is-needed-more-than-ever/
#Physics #Leidenfrost #MaterialsScience #ThermalPhysics #interdisciplinary
A new capillary design enables vapor-layer levitation without complex surface fabrication, opening paths toward low-friction motion and more efficient thermal management systems.
🔗 https://phys.org/news/2026-05-surface-thermal-enables-frictionless.html
#Leidenfrost #FrictionlessMotion #CoolingTech #AppliedPhysics #Innovation
A research team led by Professor Steven Wang, Associate Vice President (Resources Planning) and Associate Professor in the Department of Mechanical Engineering and School of Energy and Environment, has designed a revolutionary capillary structure that can trigger the Leidenfrost effect, offering a practical solution for the temperature-regulated Leidenfrost effect without requiring complex surface engineering.
Tiny pressure oscillations can strongly affect #BubbleDynamics during #boiling.
Understanding these instabilities is key to predicting transitions toward #Leidenfrost states and improving #HeatTransfer control in extreme thermal conditions.
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.
▪️ Liquid jets: dynamics and instability▪️
Learn how liquid jets form and break up
➡️ Essential for understanding Leidenfrost droplet trajectories.
Video from the "Dynamics of fluid interfaces" MOOC by ESPCI Paris - PSL.
🎥 https://www.youtube.com/watch?v=L2i1meVgtEI&list=PLcbz7zf4dTyk9BqlBPLpgI48i9TiorpEi&index=16
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
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of identifying these instabilities and overcoming one of the major obstacles faced when using machine learning to simulate physical systems. The findings are published in the Journal of Computational Physics.
Gauri & Cheikh are presenting their work today at the #PhysicsPhDDay
@UniversitedeLiege
• Particle trapping & releasing by #Leidenfrost droplets
• Heat Transfer Effects of Leidenfrost Jets
A great opportunity for scientific exchange during the #PosterSession.
LAB CHRONICLE #30
Thermal Control
200 °C on the dot.
I exhale, relieved.
→ 201 °C.
→ Leidenfrost: 1, Researcher: 0.
#Leidenfrost #ThermalTension #ScienceVsHumanity #PhysicsStrikesBack #HotExperiments
▪️ Liquid films and sheets: capillarity at large scale ▪️
Liquid films and sheets reveal the role of inertia and capillarity.
Learn more in this video from the "Dynamics of fluid interfaces" MOOC by ESPCI Paris PSL.
🎥 https://www.youtube.com/watch?v=sRqRFG2-jyA&list=PLcbz7zf4dTyk9BqlBPLpgI48i9TiorpEi&index=15
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How surface microstructures affect Leidenfrost droplets.
Numerical results show that pillar size and spacing control vapour escape under the drop, which can delay or suppress the Leidenfrost state and modify droplet rebound.
🔗 https://pubs.aip.org/aip/pof/article/38/3/032007/3382441/Numerical-study-of-bouncing-Leidenfrost
#Leidenfrost #DropletDynamics #HeatTransfer #FluidDynamics #NumericalSimulation
LeidenForce
