@ripienaar@devco.socialAnother really cool feature I designed for NATS - a distributed CRDT based counter.
Distributed meaning infrastructure at a factory floor can have local counts that flows up to regional and global levels via stream replication and eventually end up at a global count. Seperate clusters all contributing to the total with regional/location views.
You can choose to have auditable counts etc
@privacity@social.linux.pizzaNo Silver Bullet, But a Silver Lining? PETs and International Data Transfers
https://fpf.org/blog/no-silver-bullet-but-a-silver-lining-pets-and-international-data-transfers/
@…
@Techmeme@techhub.socialKpler, an online analytics platform tracking global maritime traffic and energy flows, says it has gained millions of new users since the war in Iran began (Alice Hancock/Financial Times)
https://www.ft.com/content/ce709b05-7e96-418a-bcf4-d089f0e57112
@EarthOrgUK@mastodon.energyBattery Sounds: How Does a Battery Sound in Time-lapse? - Audification: listening to my Enphase AC Battery state of charge and flows #podcast #audification #battery -
@drgeraint@glasgow.socialFascinating probability analysis of English council election voter flows (2024/2026).
https://oskanberg.github.io/2026-voter-flows/
H/T @…
@mpsgoettingen@academiccloud.social#PhDCongratulations!!! 🥳 As the 250th graduate of the @…, Ilse de Langen successfully defended her thesis today. Title: Modelling Magnetic Induction and Lorentz Force-Driven Flows in Europa’s Subsurface Ocean
@kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Nubiyan Twist feat. eniola:
🎵 Body Flows
#NubiyanTwist #eniola
https://nubiyantwist.bandcamp.com/track/body-flows-feat-eniola
https://open.spotify.com/track/7v3bzT1NvVEnqEIKpkeOoK
@seeingwithsound@mas.toHierarchical and non-hierarchical network flows generate complementary representational dynamics in human visual cortex #NeuroAI
@EgorKotov@datasci.social#rstats mapgl is now on CRAN with flowmaps support! As previewed at #MobileTartu (Mobility Lab, University of Tartu) and Association of Geographic Information Laboratories in Europe (#AGILE) conferences! (Video by Kyle Walker). Backend is Flowmap.gl
@arXiv_physicsfludyn_bot@mastoxiv.pageA discrete Boltzmann model with state-dependent power-law relaxation time for nonequilibrium transport in compressible flows
Demei Li, Zhongyi He, Huilin Lai, Yanbiao Gan, Hailong Liu, Pengfei Lin
https://arxiv.org/abs/2605.18216 https://arxiv.org/pdf/2605.18216 https://arxiv.org/html/2605.18216
arXiv:2605.18216v1 Announce Type: new
Abstract: Thermodynamic nonequilibrium effects play a central role in momentum and energy transport in compressible flows. In conventional BGK kinetic models, the relaxation time $\tau$ is taken as a constant, which neglects the dependence of the relaxation process on local macroscopic states. To overcome this limitation, we develop a discrete Boltzmann model with a density- and temperature-dependent power-law relaxation time, termed DTRT-DBM, in which $\tau=\tau_0(\rho/\rho_0)^a(T/T_0)^b$. This formulation extends the discrete Boltzmann framework to flows with spatially varying nonequilibrium intensity. The model is validated by the Sod shock tube and by analytical solutions for viscous stress and heat flux, demonstrating accurate recovery of both macroscopic wave structures and nonequilibrium quantities across shock waves, rarefaction waves, and contact discontinuities. On this basis, phase diagrams of viscous stress and heat flux are constructed to examine how these quantities depend on the power-law exponents $a$ and $b$. The extrema of these quantities depend exponentially on the model parameters and exhibit regime-dependent behaviour. The roles of $a$ and $b$ are not symmetric: the nonequilibrium response is more sensitive to $a$ when density gradients dominate, but more sensitive to $b$ when temperature gradients dominate. Within the parameter range and flow configurations examined here, higher-order viscous stress increases the growth rate of the total viscous-stress extremum, whereas higher-order heat flux reduces the growth rate of the total heat-flux extremum. These results show that the proposed model can capture different higher-order nonequilibrium responses in compressible flows and provides a framework for the modelling and analysis of multiscale nonequilibrium processes.
toXiv_bot_toot
@servelan@newsie.socialLarge mammal declines reshape nutrient flows in African savannas—with consequences for tadpoles
https://phys.org/news/2026-04-large-mammal-declines-reshape-nutrient.html
@salrandolph@zirk.usWhat is the Source?
To the painter Remedios Varo, and possibly to Thomas Cole (founder of the Hudson River school), the Source was an overflowing chalice set in a mysterious landscape.
The Source is magical and inexhaustible (like a fairy-tale soup pot), hidden and yet waiting to be found, ready to be discovered not once but endlessly.
@BBC6MusicBot@mastodonapp.uk
@burger_jaap@mastodon.socialAustralian innovation for the 🇬🇧 UK consumer energy market: E.ON Next combines 🇦🇺 Amber’s smart energy optimisation with half-hourly pricing
https://www.eonnext.com/tariffs/next-optimise/
@johl@mastodon.xyz
@nerdsitu@datasci.socialNew NERDS paper on drug traffic and migration
https://nerds.itu.dk/2026/06/01/nerds-paper-on-drug-traffic-and-migration/
@kubikpixel@chaos.socialThe most severe Linux threat to surface in years catches the world flat-footed:
CopyFail threatens multi-tenant servers, CI/CD work flows, Kubernetes containers, and more.
Publicly released exploit code for an effectively unpatched vulnerability that gives root access to virtually all releases of Linux is setting off alarm bells as defenders scramble to ward off severe compromises inside data centers and on personal devices.
🌐
@mpsgoettingen@academiccloud.social#PhDCongratulations!!! 🥳🥳🥳Neelanchal Joshi of the #IMPRS #SolarSystemSchool successfully defended his thesis “Measuring multiscale solar flows using local correlation t…
@cdarwin@c.imThe biggest energy shock in modern history, jet fuel shortages “within weeks”, a global recession
– since Iran throttled shipping flows through the strait of Hormuz at the end of February the economic warnings have become increasingly dire.
Yet 10 weeks on from the first US-Israeli attacks, share indices, companies and governments have been surprisingly sanguine.
Every day the divergence grows between the eerie quiet on markets and alarming warnings of an imminent supply c…
@mho@social.heise.deHere is the #visualization that I was writing about yesterday. It's showing data by the #UN about immigrants/emigrants to/from all countries to/from all countries in 5-year intervals.
What do you think?
@Sustainable2050@mastodon.energyRE: https://fediscience.org/@ZLabe/116541608950049120
Global sea level rise could now already be around 4.6 mm/year. This can, however, start to accelerate even faster due to Antarctic ice flows into the warming ocean water there.
@arXiv_physicsfludyn_bot@mastoxiv.pageMapping the Turn: An Eulerian Binormal-Axis Diagnostic for Recirculating 3D Flows
John Marshall Cooper, Wen Wu
https://arxiv.org/abs/2605.18439 https://arxiv.org/pdf/2605.18439 https://arxiv.org/html/2605.18439
arXiv:2605.18439v1 Announce Type: new
Abstract: Three-dimensional (3D) recirculating flows are often interpreted qualitatively from selected streamline visualizations. In separated flows, such recirculating motion is central to the drag modulation, but the local orientation of recirculation remains difficult to quantify in a field-based form. This work introduces an Eulerian binormal-axis diagnostic that locally evaluates the orientation of streamline turning at each point in the velocity field, yielding a spatially resolved field of the recirculating direction. Motivated by the Frenet-Serret binormal direction of a curved streamline, the diagnostic uses the velocity vector and its convective acceleration to extract the local streamline-turning axis without requiring explicit streamline integration. The resulting direction is encoded with barycentric RGB weights to visualize streamwise, spanwise, and wall-normal turning axis contributions. The diagnostic is first applied to Hill's spherical vortex, which provides a controlled analytic example of 3D recirculating motion for interpreting the binormal-axis direction and the associated barycentric RGB encoding. It is then applied to the mean field of a pressure-gradient-induced 3D separation bubble. The resulting visualizations show that the diagnostic reveals orientation changes that are not apparent from streamline visualization. The proposed diagnostic therefore converts qualitative streamline impressions into a spatially resolved measure of local streamline-turning orientation, providing a quantitative complement to conventional 3D flow visualization.
toXiv_bot_toot
@Techmeme@techhub.socialNY-based Auctor, which uses AI to curate resource plans and process flows to help companies adopt new software, raised $20M in a combined seed and Series A (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2026…
@cosmos4u@scicomm.xyzNeural posterior estimation of the neutrino direction in #IceCube using transformer-encoded normalizing flows on the sphere: https://arxiv.org/abs/2604.19846 -> New machine-learning method improves IceCube’s estimation of neutrino direction: https://icecube.wisc.edu/news/research/2026/05/new-machine-learning-method-improves-icecubes-estimation-of-neutrino-direction/
@maxheadroom@hub.uckermark.socialAvatar Mountains quite impressive. If you're here, make sure to get a bamboo walking cane at the bottom. It will help fend off wild monkeys. Most of them are calm. But some do attack the tourists. #Wulingyang
@aardrian@toot.cafeFound a new example of a crappy carousel in the wild for a talk!
At first it seems fine, but it’s death by paper cuts.
• Horizontal scroll, offset from edge of viewport;
• clipped text;
• poor CSS `grid` use;
• scroll snap;
• `alt`-less images;
• `aria-label` on the links;
• and more!
Oh. It’s just Wix.
@kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on KEXP's #VarietyMix
Nubiyan Twist:
🎵 Body Flows
#NubiyanTwist
https://nubiyantwist.bandcamp.com/track/body-flows-feat-eniola
https://open.spotify.com/track/7upfL0aBLyS0Et87s2dhP0
@doktrock@toad.social
@BBC3MusicBot@mastodonapp.uk🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Dobrinka Tabakova, Roman Mints, Raimondas Sviackevičius & Donatas Bagurskas:
🎵 Frozen River Flows
#DobrinkaTabakova #RomanMints #RaimondasSviackevičius #DonatasBagurskas
@mlawton@mstdn.socialThis afternoon, fulfilling a Mother’s Day request a day early, the family hiked the Cascades in Pembroke, VA. The trail transits up Little Stony Creek to this fantastic set of falls. We had the fortunate timing of being there not long after heavy rains. Perfect weather for it too.
#hiking #waterfall
@EarthOrgUK@mastodon.energyBattery Sounds: How Does a Battery Sound in Time-lapse? - Audification: listening to my Enphase AC Battery state of charge and flows #podcast #audification #battery -
@UP8@mastodon.socialNo Kings! this Saturday left me with the question: would the real Donald Trump have called me a "furry"?
#photo #photography #nokings
@cdarwin@c.imWe are living in a new world of hedgers.
The shocks of the last several years
—COVID-19, Russia’s war in Ukraine,
Trump’s tariffs,
and the Iran conflict
—have upended how nations approach international affairs.
The smooth flows of a globalized and rules-based world have clotted into uncertainty,
forcing states to find new pathways for trade, diplomacy, resource extraction, and defense cooperation.
Countries no longer consider historical partner…
@burger_jaap@mastodon.social @EarthOrgUK@mastodon.energy16WW Electricity Profiles - 16WW grid import and export and other electricity hour-of-day flows. #stats #loadProfile - https://www.
@primonatura@mstdn.social"UK rivers face rising risk of climate 'whiplash'"
#UK #UnitedKingdom #Climate #ClimateChange
@maxheadroom@hub.uckermark.socialYangtze River in Chongqing
@BBC6MusicBot@mastodonapp.uk🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Teenage Fanclub:
🎵 Everything Flows
#TeenageFanclub
https://luvseat.bandcamp.com/track/everything-flows-teenage-fanclub-2
https://open.spotify.com/track/3LH5BAYksLkP0AWaZ3TgoM
@Techmeme@techhub.socialResearchers detail CopyFail, a now-patched Linux vulnerability that lets unprivileged users gain admin access, as many distributions have yet to add fixes (Dan Goodin/Ars Technica)
https://arstechnica.com/security/2026/04/as-the…
@arXiv_physicsappph_bot@mastoxiv.pageReplaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Hydrodynamic Behavior of Non-spherical Particles in Confined Vertical Flows: A Resolved CFD-DEM S...
Das, Choudhury, Jaggannagari, Krishnan, Kuttikrishnan, Ramakrishnan, Annabat…
@cdarwin@c.imAmerica’s war on Iran began with what was meant to be an intimidating performance of overwhelming air power.
Quickly it became another kind of conflict, with low-cost missiles and drones effectively neutralizing a superpower by punishing its allies and paralyzing energy flows.
By the time Trump tried to threaten Iran into reopening the Strait of Hormuz with a 48-hour ultimatum,
it was clear not just that the strait had become America’s singular strategic fixation but that…
@arXiv_physicsfludyn_bot@mastoxiv.pageElectrolyte flows under magnetic fields: Manning-like counterion condensation in one dimension
Yoav Tsori, Hannes Uecker
https://arxiv.org/abs/2605.18076 https://arxiv.org/pdf/2605.18076 https://arxiv.org/html/2605.18076
arXiv:2605.18076v1 Announce Type: new
Abstract: We present a theoretical framework for unidirectional electromagnetohydrodynamic flow of dilute electrolytes under perpendicular magnetic fields. Starting from the Navier--Stokes equation coupled with the Poisson--Nernst--Planck formulation, we show that the problem admits a sequential decoupling: the Stokes equation is solved first to obtain the velocity profile, which defines a hydrodynamic potential entering the Nernst--Planck description of ions. This Lorentz-force-induced potential competes with electrostatic attraction and significantly alters ionic distributions. We analyze this mechanism in two canonical geometries. In planar Couette shear, it produces a Manning--Oosawa-like condensation transition in one dimension, a phenomenon absent in classical electrostatics. We derive an eigenvalue equation predicting a sharp threshold between counterion enrichment and depletion at the charged wall. In cylindrical Taylor--Couette flow, the same effect shifts the classical Manning criterion by a magnetic parameter, enabling tunable control of condensation. These findings extend Manning--Oosawa phenomenology to driven, non-equilibrium systems and provide a basis for magnetic manipulation of screening in electrolytes, with implications for microfluidics, electrochemical systems, and nonlinear boundary-value theory.
toXiv_bot_toot
@arXiv_physicsfludyn_bot@mastoxiv.pageSelf-focusing of helicity drives finite-time singularities in inviscid flows
Mokhtar Adda-Bedia, Sergio Rica
https://arxiv.org/abs/2605.17569 https://arxiv.org/pdf/2605.17569 https://arxiv.org/html/2605.17569
arXiv:2605.17569v1 Announce Type: new
Abstract: This paper deals with the longstanding quest of the possible existence of finite-time singularities in the equations governing the dynamics of inviscid fluids, namely, Euler equations. Here, two contributions are brought for the case of perfect fluids with finite initial energy. First, a self-similar velocity field inspired by Leray Ansatz is proposed which allows for a separation of variables that transforms the original partial differential Euler equations to a nonlinear system of ordinary differential equations. This system can be solved semi-analytically and allows a continuum set of solutions parametrised by a self-similar exponent, $\nu$. Second, we use the conservation laws of Euler equations to select the possible finite-time singular solutions and the related self-similar exponents. We find that the helicity is the driving mechanism of the blow-up through a self-focusing mechanism. The flow near the singularity separates into two phases. A first phase is within a tubular region that shrinks as a power-law $(t_c-t)^\nu$, with $t_c$ the blow-up time, where the helicity is focused. This region is separated by a sharp interface from an outer region where the vorticity, and thus helicity, is identically zero. We found that the finite-time singularity may be either point-like or line-like depending on the dynamics of the tubular region along its axis of symmetry. Incidentally for a point-like singularity we recover the Leray scaling $\nu=1/2$ paving the way to a generalisation of this approach for the Navier-Stokes equations. Finally, we conjecture that if the helicity vanishes initially, no finite-time singularity would be possible, since in this case the singularity occurs at infinite time from the initial condition.
toXiv_bot_toot
@sherold@mastodon.onlineAlways be a good animal, true to your instincts.
#photography #animals #blackandwhite #motivational
@kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Nubiyan Twist feat. eniola:
🎵 Body Flows
#NubiyanTwist #eniola
https://nubiyantwist.bandcamp.com/track/body-flows-feat-eniola
https://open.spotify.com/track/7v3bzT1NvVEnqEIKpkeOoK
@BBC6MusicBot@mastodonapp.uk @arXiv_physicsfludyn_bot@mastoxiv.pageReplaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- Mixing Fronts in Smooth Chaotic Flows
Heyman Joris, Le Borgne Tanguy, Lester Daniel
https://arxiv.org/abs/2506.15255 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114709421274451465
- Real-time reinforcement learning for turbulent state-dependent control in a bluff-body wake
Junjie Zhang, Chengwei Xia, Xianyang Jiang, Isabella Fumarola, Georgios Rigas
https://arxiv.org/abs/2509.11002 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115213145016358332
- Toward a unified data-driven turbulence model through multi-objective learning
Zhuoran Liu, Haochen Wang, Zhuolin Zhao, Heng Xiao
https://arxiv.org/abs/2509.17189 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115252943951151336
- Localization of sources in weakly nonlinear fluid systems using linear and quadratic sensitivity ...
Qi Wang, Zejian You
https://arxiv.org/abs/2601.06304 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115887064467176458
- Structures of elastoinertial turbulence in pipe flow
Manish Kumar, Michael D. Graham
https://arxiv.org/abs/2601.15637 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115943599169371363
- Revisiting the Frictional Control of the Antarctic Circumpolar Current From the Energy Diagram
Takuro Matsuta, Yuki Tanaka, Atsushi Kubokawa
https://arxiv.org/abs/2602.23742 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116158781888135470
- Fluid dynamics as intersection problem
Nikita Nekrasov, Paul Wiegmann
https://arxiv.org/abs/2512.25053 https://mastoxiv.page/@arXiv_hepth_bot/115819554836846738
toXiv_bot_toot
@BBC6MusicBot@mastodonapp.uk @arXiv_physicsfludyn_bot@mastoxiv.pageSpatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
Snigdhashree Mallick (International Institute of Information Technology, Bangalore, India), Yashwanth Ramamurthi (International Institute of Information Technology, Bangalore, India), Shiva Kumar Malapaka (International Institute of Information Technology, Bangalore, India), Amit Chattopadhyay (International Institute of Information Technology, Bangalore, India)
https://arxiv.org/abs/2605.17560 https://arxiv.org/pdf/2605.17560 https://arxiv.org/html/2605.17560
arXiv:2605.17560v1 Announce Type: new
Abstract: A central challenge in hydrodynamic turbulence is identifying precisely when, and at which length scales, strong turbulent fluctuations (STFs) emerge and develop into intermittent events, which are often obscured by conventional statistical diagnostics. We address this problem by applying a Topological Data Analysis (TDA) framework to reveal the spatiotemporal signatures of intermittency in low-resolution ($128^3$) helically rotating turbulent flows. Vorticity magnitude and length-scale (eddy size) fields are used as scalar observables for TDA: vorticity characterizes rotational dynamics that generate multiscale flow structures, while length-scale fields encode the scales at which intermittent activity arises. Their evolving topology is quantified using persistence diagrams and Wasserstein-distance metrics. Compared with traditional statistical approaches, this framework is more sensitive to localized and short-lived flow variations, enabling clearer detection of intermittent behavior. Pronounced variations in Wasserstein-distance heatmaps provide direct signatures of STFs across space and time. Together, these results demonstrate that TDA offers an effective complementary tool for detecting STFs that lead to intermittency within turbulent regime.
toXiv_bot_toot
@arXiv_physicsfludyn_bot@mastoxiv.pageHigh-Order ADER-DG Hydrodynamics with ExaHyPE: Implementation, Validation, and Astrophysical Benchmarking
Andr\'es Mauricio Su\'arez Mantilla, Leonardo Casta\~neda Colorado
https://arxiv.org/abs/2605.17132 https://arxiv.org/pdf/2605.17132 https://arxiv.org/html/2605.17132
arXiv:2605.17132v1 Announce Type: new
Abstract: We describe a high-order ADER-DG solver for the compressible Euler equations within the ExaHyPE framework. The implementation combines a high-order ADER-DG polynomial representation, a local space-time DG predictor, adaptive mesh refinement, and an a posteriori subcell finite-volume limiter. We test the code on a deliberately mixed set of one- and two-dimensional problems: a strong-shock Sod-type problem, the Shu-Osher shock-entropy interaction, the Woodward-Colella blast wave, a contact-driven vortex sheet, and a shock-interface interaction. The one-dimensional cases recover the expected Euler wave patterns and show clear order-dependent gains in smooth and oscillatory regions. The two-dimensional cases probe a different part of the method, namely contact preservation, shear-driven roll-up, baroclinic vorticity deposition, and Richtmyer-Meshkov-type growth. In these tests the high-order update gives the expected resolution away from discontinuities, whereas the subcell limiter keeps the calculation stable near shocks and steep interfaces. The resulting code provides a reproducible ExaHyPE implementation for idealised inviscid, non-relativistic flows in which shocks, contacts, and multidimensional interfaces are the dominant features.
toXiv_bot_toot
@BBC6MusicBot@mastodonapp.uk @kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Nubiyan Twist feat. eniola:
🎵 Body Flows
#NubiyanTwist #eniola
https://open.spotify.com/track/7v3bzT1NvVEnqEIKpkeOoK
@arXiv_physicsfludyn_bot@mastoxiv.pageReplaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- On the stability of an in-line formation of hydrodynamically interacting flapping plates
Monika Nitsche, Anand U. Oza, Michael Siegel
https://arxiv.org/abs/2410.04626 https://mastoxiv.page/@arXiv_physicsfludyn_bot/113270998236203403
- Side-wall wetting and linear stability of falling films
Hammam Mohamed, J\"orn Sesterhenn
https://arxiv.org/abs/2504.13300 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114374794050144417
- An Omni-Temporal Theory for Hydrodynamic Dispersion and Reaction in Porous Media
Md Abdul Hamid, Kyle C. Smith
https://arxiv.org/abs/2505.06063 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114493702701690116
- Confirming Wave Turbulence Predictions in Rotating Turbulence
Omri Shaltiel, Omri Gat, Eran Sharon
https://arxiv.org/abs/2510.25446 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115462467154250733
- Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-\omega$ Turb...
Lars Davidson
https://arxiv.org/abs/2511.12493 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115570134553603649
- Oscillating Detonation of Liquid Ammonia
Wenhao Wang, Zongmin Hu, Peng Zhang
https://arxiv.org/abs/2511.14167 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115575358542454196
- On the Poisson-Source Basis of Logarithmic Wall-Pressure-Variance Growth
Jonathan M. O. Massey, Joseph C. Klewicki, Beverley J. McKeon
https://arxiv.org/abs/2511.16776 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115603689363840109
- Convolutional causal learning for aerodynamic flows
Ryo Koshikawa, Ryo Araki, Qiong Liu, Kai Fukami
https://arxiv.org/abs/2601.19104 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115971839485449464
- Assessing engineering wake models against operational data: insights from the Lillgrund wind farm...
Siguenza-Alvarado, Harrison, Mohammadi, Vishwakarma, Bossanyi, Landberg, Bastankhah
https://arxiv.org/abs/2601.21035 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115983015393462612
- Neural equilibria for long-term prediction of nonlinear conservation laws
Benitez, Hegazy, Guo, Dokmani\'c, Mahoney, de Hoop
https://arxiv.org/abs/2501.06933 https://mastoxiv.page/@arXiv_csLG_bot/113825452743912532
- Self-similar rupture of thin films of power-law fluid
Michael C Dallaston, Steven A Kedda, Scott W McCue
https://arxiv.org/abs/2509.05383 https://mastoxiv.page/@arXiv_condmatsoft_bot/115173629129170202
- Instability and self-propulsion of flexible autophoretic filaments
Ursy Makanga, Akhil Varma, Panayiota Katsamba
https://arxiv.org/abs/2509.10153 https://mastoxiv.page/@arXiv_condmatsoft_bot/115207443699020835
- Analytical response functions for a compressible thin fluid layer with odd viscosity
Abdallah Daddi-Moussa-Ider, Yuto Hosaka, Shigeyuki Komura
https://arxiv.org/abs/2602.18136 https://mastoxiv.page/@arXiv_condmatsoft_bot/116119064615788127
toXiv_bot_toot
@BBC6MusicBot@mastodonapp.uk @kexpmusicbot@mastodonapp.uk🇺🇦 #NowPlaying on #KEXP's #PacificNotions
Solitary Dancer:
🎵 Quiet Flows the Dawn
#SolitaryDancer
https://open.spotify.com/track/43dydO02aAofnxbjPoqHL0
