Woow, lo siento, no puedo evitar compartir este libro, tambén encontrado a través de https://www.oapen.org: Mathematical Modeling of the Human Brain, disponible con licencia libre #ccby https://library.oapen.org/handle/20.500.12657/53362

✅ Se estudian modelos 3-d del cerebro (EDP de tipo parabólico)
✅ Usan la biblioteca #FEniCS
👍 Se merece un buen vistazo para nuestro proyecto MAIN·Brain·Repair https://mainbrainrepair.github.io

Mastodon #introduction: TuxRiders is a journey to research experiences using free and #opensource scientific computing programs, which aimed to demonstrate their power for real-world scientific research.

In our #YouTube channel, we regularly talk about #FiniteElement, #EngineeringMath, #PDEs, #NumericalMethods, #FreeFEM, #FEniCS, #ParaView, #C++, #Python, #OpenFOAM, and #Linux.

Check out our YT channel: https://www.youtube.com/TuxRiders

Hello there! #introduction

I am a postdoc at Université Laval in Québec working in collaboration with Michelin. My current work is about #ErrorEstimation for #FiniteElements methods. More precisely, I am working on gradient reconstruction for multimaterial problems.

I am also a #fenics user and I am interested in #NonLocalModels and more precisely in the error estimation in the finite element discretization of fractional partial differential equations.
#WelcometoMastodon
#WelcometoMathstodon

Finally made my 2D magnet post. In this example I do a simple demonstration of finding a magnetic field from a coax, and verify the result with an analytical solution. I then use the same method to find the field inside a dipole magnet of the type used at the LHC; a cos(phi) magnet. https://comphysblog.wordpress.com/2020/08/19/2d-magnetostatics-cos%cf%86-dipole-magnet/

#fenics #physics #finite_element_analysis

Just made a short post about how to simulate electrostatic nonuniform charge density distributions with FEniCS; that is spatially varying charge density distributions. This could be useful for simulating things like particle beams which are commonly assumed to have Gaussian (or similar) distributions. This is a small extension of a previous post about how to simulate uniform charge density distributions.

https://wordpress.com/post/comphysblog.wordpress.com/988

#fenics #physics #opensource #python #ham

My latest post is about using boundary conditions to assume symmetry in a finite element electrostatics problem.

To demonstrate Neumann boundaries I solve the Laplace equation for a coaxial geometry using 1/4 of the cross section. I then find the fields of a differential pair transmission line using half the cross section and a Dirichlet boundary.

This is all done with FEniCS, the open source finite element solver. #physics #python #opensource #ham #radio​ #fenics

https://comphysblog.wordpress.com/2019/07/15/assuming-symmetry-with-boundary-conditions/​​

Finally finished my post on electrostatics with linear dielectrics using the open source finite element solver FEniCS. It's surprisingly easy!

#physics, #rf, #opensource, #python, #fenics

https://comphysblog.wordpress.com/2019/01/12/electrostatics-with-linear-dielectric-materials-using-fenics/

After a couple of months without a new post I've started writing about simulating charge distributions, rather than just boundary value problems. I'll explain how #FEniCS can calculate the electrostatic fields of arbitrarily shaped charge densities, which are specified with mesh subdomains. These will have hard edges for now but I want to look into having more general charge distributions.

I've also run 3D simulations for calculating capacitances between arbitrarily shaped conductors and 2D linear dielectrics. I need to do some more testing & comparison with other FEA tools/ analytical methods before I publish any posts. Seems to be going well though!

Small update to the TEM mode analysis with #FEniCS example.

I've added in a calculation for the mutual capacitance and self-inductance per unit length of the transmission line.

https://comphysblog.wordpress.com/2018/09/06/tem-mode-analysis-with-fenics/

#opensource #physics #python #ham