I'm still alive (woohoo!) and losing my mind as I rush to finish all the things that are still needed before June 6 ...
One thing for sure: after this I will have a redoubled appreciation for the people organizing events and the amount of work that goes into make sure that participants have the smoothest experience possible.
I started writing the first #SpaceTalkTuesday thread about planetary habitability, but quickly realized you all need some background on how we *find* planets first!
So sorry to everyone who voted for habitability, but we’re doing HOW TO FIND AN EXOPLANET 🔭 today!
I promise this will make the habitability thread next week make even more sense (1/)
For a more hands-on learning experience, the upcoming 16th #SPHERIC International Workshop <https://www.spheric2022.it> offers a #TrainingDay fully dedicated to learning the basics of #SmoothedParticleHydrodynamics, from the theory to practical examples with a #FreeSoftware #OpenSource implementation.
The community of researchers and industrial users of #SmoothedParticleHydrodynamics is represented by #SPHERIC, an #ERCOFTAC #SIG with the objective of fostering the development of the method and its adoption <https://spheric-sph.org>.
#SPHERIC defined 5 #GrandChallenges for #SPH:
GC1: #convergence, #consistency and #stability
GC4: Coupling to other models
GC5: Applicability to #industry
#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 caught the attention of several industries, with applications ranging from the design of engines, tires and windshield wipers to the development of wave energy converters, ship-locks, fish-passes and dam spillways.
These two properties give #SPH some advantages over more traditional methods (finite differences, finite element, finite volume), such as automatic mass conservation and natural (often implicit) handling of interfaces, large deformations or fragmentation.
In addition, the standard weakly-compressible formulation is embarrassingly parallel in nature, making it fit for implementation on high-performance parallel computing hardware. #GPGPU in particular has been a boon for SPH.
Lagrangian: the computational elements (“particles”) move following (a discretized version of) the equations of motion (typically, the Euler or Navier–Stokes equations in the #CFD case).
Meshless: the computational elements are _disconnected_. There is no reference grid or mesh ‘connecting’ the particles: particles interact when they are within some prescribed (possibly non-constant) influence radius.
Why should we talk about it? Because it's relatively less known than other numerical methods, possibly undeservingly so, and because I love it.
OK, the advanced web view in #Mastodon is definitely superior _but_ for the small detail of the broken CSS preventing columns from expanding to cover the whole page width, which has apparently been a known issue for 3 years now, with a simple fix available ... that hasn't been merged in yet.
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, #hazard assessment, #risk mitigation.
Much of my work revolves around #ComputationalFluidDynamics (#CFD), w/ a preference for #SmoothedParticleHydrodynamics (#SPH).
I should probably mention my interest in #HPC and #GPGPU, but I ran out of characters …