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@arXiv_physicsfludyn_bot@mastoxiv.page
2026-05-19 08:13:44

Solutocapillary instability in slipping falling films
Sanghasri Mukhopadhyay, S\'everine Millet, Bastien Di Pierro, Asim Mukhopadhyay
arxiv.org/abs/2605.17519 arxiv.org/pdf/2605.17519 arxiv.org/html/2605.17519
arXiv:2605.17519v1 Announce Type: new
Abstract: We present a comprehensive framework for gravity-driven, surfactant-laden thin films flowing over slippery substrates, elucidating how wall slip modifies the coupled hydrodynamics and interfacial transport. A long-wave model is formulated with a conservative bulk-surface mass balance and a Navier slip condition. The Orr-Sommerfeld eigenvalue problem governs the linear regime, while a weighted-residual model captures the nonlinear evolution over a range of equilibrium surfactant coverages, Marangoni strengths, and adsorption kinetics. The analysis predicts a non-monotonic variation of the critical Reynolds number with equilibrium coverage, exhibiting a maximum at intermediate $\Gamma_e$, and a slip-induced transition from single- to double-hump solitary structures with increasing Marangoni number, accompanied by attenuated capillary ripples. Under fast adsorption kinetics, the surface field homogenizes, preserving the mean film shape and flux while flattening both the surface concentration $\Gamma$ and the bulk inventory $\chi h\phi$. A spurious interfacial mass growth reported by Pascal et al.(PRF, 2019) and D'Alessio et al.(JFM, 2020) is resolved through a revised surface balance ensuring strict conservation. Wall slip thus emerges as a key control parameter, reducing viscous resistance and mitigating Marangoni back-stress. The slip parameter $\beta$ is a useful control knob for surfactant-laden films. Slip prevents fragile multi-hump bound states, promoting a single broad crest or an almost flat, uniform sheet by carefully bonding $\beta$ to wave selection, ripple damping, and the bulk-surface surfactant balance.
toXiv_bot_toot

@shaun@mastodon.xyz
2026-05-18 17:23:06

The #Shelby County #Tennessee DA has released #Memphis Police body cam video surrounding the violent use of force and deployment of chemical spray by MPD at No Kings 3. (Use the Dropbox link.) Thank you

@Techmeme@techhub.social
2026-06-19 09:55:45

Filing: Jio Platforms, India's largest wireless operator with 526M subscribers, files for an IPO; the deal is expected to be one of India's biggest IPOs ever (Priyanka Salve/CNBC)
cnbc.com/2026/06/19/india-jio-

@denmanrooke@mastodon.ie
2026-05-19 11:04:45

Not only will the Ring Road not solve the traffic issues as report after report has highlighted only 3% is bypass traffic, but it will CPO and affect 54 homeowners.
The N6 will encourage private car use, raise emissions, waste money, and not even solve traffic.

@soundclamp@mastodon.xyz
2026-05-17 19:09:50

#ListeningClub I’m already feeling sleepy and this isn’t helping haha.

@arXiv_physicsfludyn_bot@mastoxiv.page
2026-05-19 10:06:18

Replaced article(s) found for physics.flu-dyn. arxiv.org/list/physics.flu-dyn
[1/1]:
- On the stability of an in-line formation of hydrodynamically interacting flapping plates
Monika Nitsche, Anand U. Oza, Michael Siegel
arxiv.org/abs/2410.04626 mastoxiv.page/@arXiv_physicsfl
- Side-wall wetting and linear stability of falling films
Hammam Mohamed, J\"orn Sesterhenn
arxiv.org/abs/2504.13300 mastoxiv.page/@arXiv_physicsfl
- An Omni-Temporal Theory for Hydrodynamic Dispersion and Reaction in Porous Media
Md Abdul Hamid, Kyle C. Smith
arxiv.org/abs/2505.06063 mastoxiv.page/@arXiv_physicsfl
- Confirming Wave Turbulence Predictions in Rotating Turbulence
Omri Shaltiel, Omri Gat, Eran Sharon
arxiv.org/abs/2510.25446 mastoxiv.page/@arXiv_physicsfl
- Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-\omega$ Turb...
Lars Davidson
arxiv.org/abs/2511.12493 mastoxiv.page/@arXiv_physicsfl
- Oscillating Detonation of Liquid Ammonia
Wenhao Wang, Zongmin Hu, Peng Zhang
arxiv.org/abs/2511.14167 mastoxiv.page/@arXiv_physicsfl
- On the Poisson-Source Basis of Logarithmic Wall-Pressure-Variance Growth
Jonathan M. O. Massey, Joseph C. Klewicki, Beverley J. McKeon
arxiv.org/abs/2511.16776 mastoxiv.page/@arXiv_physicsfl
- Convolutional causal learning for aerodynamic flows
Ryo Koshikawa, Ryo Araki, Qiong Liu, Kai Fukami
arxiv.org/abs/2601.19104 mastoxiv.page/@arXiv_physicsfl
- Assessing engineering wake models against operational data: insights from the Lillgrund wind farm...
Siguenza-Alvarado, Harrison, Mohammadi, Vishwakarma, Bossanyi, Landberg, Bastankhah
arxiv.org/abs/2601.21035 mastoxiv.page/@arXiv_physicsfl
- Neural equilibria for long-term prediction of nonlinear conservation laws
Benitez, Hegazy, Guo, Dokmani\'c, Mahoney, de Hoop
arxiv.org/abs/2501.06933 mastoxiv.page/@arXiv_csLG_bot/
- Self-similar rupture of thin films of power-law fluid
Michael C Dallaston, Steven A Kedda, Scott W McCue
arxiv.org/abs/2509.05383 mastoxiv.page/@arXiv_condmatso
- Instability and self-propulsion of flexible autophoretic filaments
Ursy Makanga, Akhil Varma, Panayiota Katsamba
arxiv.org/abs/2509.10153 mastoxiv.page/@arXiv_condmatso
- Analytical response functions for a compressible thin fluid layer with odd viscosity
Abdallah Daddi-Moussa-Ider, Yuto Hosaka, Shigeyuki Komura
arxiv.org/abs/2602.18136 mastoxiv.page/@arXiv_condmatso
toXiv_bot_toot

@NFL@darktundra.xyz
2026-07-16 12:40:14

Demario Davis: Jets brought me in to 'model what they want that culture to look like' nfl.com/news/demario-davis-jet

@Techmeme@techhub.social
2026-07-13 13:20:44

Apple's stock is up 15% since June 25, adding nearly $600B in market value and pushing shares back to record territory, as investors flee an AI stock selloff (Ryan Vlastelica/Bloomberg)
bloomberg.com/news/articles/20

@compfu@mograph.social
2026-06-14 09:07:24

Behind-the-scenes clip from Eyeline (ex Scanline) about filling a soccer stadium with a crowd:
youtube.com/watch?v=8W6rpbY4GLc
I find the self-marketing of it so weird. They use phrases like "hybrid pipeline" that can perfect how they meet the director's vision…

@Techmeme@techhub.social
2026-06-30 15:15:53

AWS launches an internal organization for AI-focused forward-deployed engineers, backed by $1B in resources, following OpenAI and others in launching FDE teams (Russell Brandom/TechCrunch)
techcrunch.com/2026/06/30/amaz