#smoothedparticlehydrodynamics
Live, measured metrics for the hashtag #smoothedparticlehydrodynamics from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #smoothedparticlehydrodynamics
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-27 03:36 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-27 03:36 UTCNo related tags with measured usage found for #smoothedparticlehydrodynamics.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-27 03:36 UTCEverything below is measured over the latest 26 public posts (spanning ~32456 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (26)
Avg boosts / post: 0.9
Top of the latest posts
Although the focus of the paper is on #SmoothedParticleHydrodynamics, and the simulation of viscous fluids, the key finding is of more general interest: the numerical stability of #BiCGSTAB can be improved by rewriting the standard formulat
#SmoothedParticleHydrodynamics was originally developed for #astrophysics (modelling star formation), but has expanded to #NavalArchitecture, #OceanEngineering, #waterworks, #aeronautics, #geology, #medicine, just to name a few. It has caug
#introduction I work at the Osservatorio Etneo, Catania section of the Italian National Institute for Geophysics and Volcanology #INGV. Mathematician by formation, scientific software developer by necessity, I work on #lava flow #simulation
#smoothedparticlehydrodynamics across platforms
every network with a public tag surfaceFollow #smoothedparticlehydrodynamics straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/smoothedparticlehydrodynamics