Official APS DFD Twitter account
Joined June 2022
- Tweets521
- Following186
- Followers932
- Likes568
APS Division of Fluid Dynamics retweeted
Congratulations to the recipients of our fall 2026 prizes and awards in the fields of #FluidDynamics, #NuclearPhysics, and #PlasmaPhysics. 🎉
Check out the winners here: go.aps.org/4cWGlwr
APS Division of Fluid Dynamics retweeted
In each place I gave a tutorial and a technical talk, mostly an hour each session, with audiences in the range 50-100 in each case. The trip was phenomenal. I am a bit at a loss to communicate just how warmly the outreach was received. Science is truly the common language.
3/3
APS Division of Fluid Dynamics retweeted
I visited and spoke at the National University of Singapore (NUS), A-STAR (public agency), the International Center for Theoretical Sciences in Bangalore (ICTS), the Indian Institute of Science (IISc) in Bangalore and the Indian Institute of Technology Bombay (IIT-B).
2/3
APS Division of Fluid Dynamics retweeted
Submit your abstract by July 24 to share your research with 3,000 colleagues at the annual meeting of the Division of Fluid Dynamics. @apsfluiddynamic
🔗 go.aps.org/3FBYWjL
ALT Attendee presents research findings at a poster session during an APS Division of Fluid Dynamics meeting. Blue and orange conference graphic with the text “APS Division of Fluid Dynamics Annual Meeting 2026” and “Abstracts Open.”
ALT Collage of APS Division of Fluid Dynamics attendees networking and posing for photos at a conference. Text states that the 79th Annual Meeting of the APS Division of Fluid Dynamics brings together physicists and students from around the world to connect and collaborate across academia, industry, and major laboratories.
ALT Conference attendees seated and smiling during a session at an APS Division of Fluid Dynamics meeting. Blue and orange graphic with the text “APS Division of Fluid Dynamics Annual Meeting 2026” and event details: Orange County Convention Center, Orlando, Florida, November 22–24, 2026.
APS Division of Fluid Dynamics retweeted
Bacteria can propel themselves like a corkscrew by wrapping their flagella around their body. How do they do it? A new study in Physical Review E suggests they take advantage of motor-induced buckling instability to perform this method of locomotion.
🔗 go.aps.org/4eZvYtm
APS Division of Fluid Dynamics retweeted
Experiments and simulations explore the flow and interface dynamics near a moving contact line at obtuse angles, revealing a sharp flow deceleration along the interface, offering insight into the classical moving contact line singularity.
go.aps.org/4cuk5tH
APS Division of Fluid Dynamics retweeted
An interferometry method for confined 2D binary droplets in a humidity-controlled environment enables high-res measurement of drying kinetics and internal concentration fields to characterize drying and transport in complex fluids.
Editors' suggestion: go.aps.org/4unsCpq
APS Division of Fluid Dynamics retweeted
Colloidal particles at fluid interfaces may strongly hinder or barely affect mass transfer. Using the Fick-Jacobs equation, a new Letter shows that hindrance occurs mainly at short times from reduced cross-section, giving a simple predictive criterion.
go.aps.org/4hTKEJR
APS Division of Fluid Dynamics retweeted
Turbulence drives heterogeneous particle adhesion in channel flows, with adhesion strength rising at higher temperatures. DNS show that deposition depends on particle inertia and is shaped by turbulent structures.
Read the PRFluids Editors’ suggestion: go.aps.org/4hjW6OK
APS Division of Fluid Dynamics retweeted
A two-sphere microswimmer made of responsive hydrogels can move through viscous fluids by swelling and deswelling in response to chemical waves. A model shows how swimming speed depends on the asymmetry of the gel spheres, enabling chemoresponsive motion.
go.aps.org/4nDwdf4
APS Division of Fluid Dynamics retweeted
Do ice stalagmites grow only vertically? Not always! Temperature and flow rate shape their form, creating star-like structures. Heat diffusion at the tip controls whether growth is purely vertical or also lateral.
Read the PRFluids Editors' suggestion: go.aps.org/4nGb8AH
APS Division of Fluid Dynamics retweeted
Don't miss the upcoming PRFluids Journal Club!
Read the featured paper: go.aps.org/41lkIQC
Register for free: go.aps.org/3Keaagk
🚨The PRFluids Journal Club returns after its summer break!
On October 7th at 9:00 AM ET, Yuke Li & Victor Steinberg will discuss their recent paper “Mechanism of Stochastic Resonance in Viscoelastic Channel Flow”.
A live Q&A will follow.
Register here: go.aps.org/3Keaagk
APS Division of Fluid Dynamics retweeted
🚨The PRFluids Journal Club returns after its summer break!
On October 7th at 9:00 AM ET, Yuke Li & Victor Steinberg will discuss their recent paper “Mechanism of Stochastic Resonance in Viscoelastic Channel Flow”.
A live Q&A will follow.
Register here: go.aps.org/3Keaagk
APS Division of Fluid Dynamics retweeted
🚢 🌊 PRFluids Editors' suggestion: Wave forecasts for ships are now more accurate with a new nonlinear prediction model using shipborne radar data and dynamic averaging. By including third-order effects, the model predicts even extreme waves in rough seas
go.aps.org/3VTVBB4
APS Division of Fluid Dynamics retweeted
Fluid-structure interaction simulations offer valuable insights for optimal aortic valve prosthesis placement. An invited article shows that supra-annular placement consistently lowers pressure, enhances flow, and reduces shear and hemolysis risk.
go.aps.org/4pqlaXX
APS Division of Fluid Dynamics retweeted
📢 PRFluids Editors' suggestion: Gel-like skins that form on drying porous materials delay evaporation. By accounting for pore size gradients and viscosity-dependent vapor pressure, a new model predicts the evaporation slowdown observed in experiments.
go.aps.org/4n7U9qR
APS Division of Fluid Dynamics retweeted
In turbulent superfluid helium, quantum vortex lines form tangles with a characteristic mean intervortex spacing. Experiments show this spacing follows a Kolmogorov-like power law with Reynolds number, which can be explained by classical turbulence theory.
go.aps.org/4oXfg0e
APS Division of Fluid Dynamics retweeted
While traditional wave models often struggle to efficiently capture ocean waves nonlinearity, a new physics-informed neural network approach pushes this limit. From sparse data, it reconstructs and predicts phase-resolved, nonlinear, and dispersive waves.
go.aps.org/3UYooEf
