Updated readme

README.md

@@ -10,7 +10,7 @@
 # About Comodo
 Comodo is a [Julia](https://julialang.org/) package **computational (bio)mechanics and computational design**, and offers functionality for geometry processing, meshing, finite element analysis, automated design, topology optimisation, and image-based modelling. 
 
-Loosely Comodo could stand for **Com**putational **Mo**delling for **D**esign **O**ptimization. A more philosophical angle would be to say that **DO** is like *-do* in the Japanese art *Judo* (ju=柔=gentle, do=道=way), so in this sense Comodo stands for *"the way of computational modelling"*. Comodo is perhaps best defined by its scope. Comodo aims to be a "one-stop-shop" for researchers in computational (bio)mechanics and computational design. It will feature tools for geometry processing, meshing, automated design / topology optimization, finite element analysis, as well as (e.g. medical) image processing and segmentation. For finite element analysis this project currently features the use of the open source C++ solver FEBio. In the future the use of the Julia packages [Gridap.jl](https://github.com/gridap/Gridap.jl) and [Ferrite.jl](https://github.com/Ferrite-FEM/Ferrite.jl) for finite element analysis will be explored. 
+Loosely Comodo could stand for **Com**putational **Mo**delling for **D**esign **O**ptimization. A more philosophical angle would be to say that **DO** is like *-do* in the Japanese art *Judo* (ju=柔=gentle, do=道=way), so in this sense Comodo stands for *"the way of computational modelling"*. Comodo is perhaps best defined by its scope. Comodo aims to be a "one-stop-shop" for researchers in computational (bio)mechanics and computational design. It will feature tools for geometry processing, meshing, automated design / topology optimization, finite element analysis, as well as (e.g. medical) image processing and segmentation. 
 
 Comodo.jl started out as a modern re-implementation in Julia of the MATLAB toolbox [GIBBON](https://github.com/gibbonCode/GIBBON). However, rather than literally porting each functional unit, it instead aims to follow a similar philosophy and cover similar but more advanced core functionaly.
 
@@ -24,15 +24,8 @@ The `examples` folder contains examples on the use of Comodo's functionality.
 # Documentation 
 Under construction
 
-## Using FEBio
-To use Comodo with FEBio one needs to install this external library. You can obtain an official binary from [their website](https://febio.org/) or compile [their source available on GitHub](https://github.com/febiosoftware/FEBio). 
-The Comodo `examples` folder contains FEBio demo's, for instance [`demo_febio_0001_cube_uniaxial_hyperelastic.jl`](https://github.com/COMODO-research/Comodo.jl/blob/main/examples/demo_febio_0001_cube_uniaxial_hyperelastic.jl) which features a demonstration for uniaxial loading of a hyperelastic solid cube. 
-For now users need to tell Comodo specifically where the FEBio executable is on your system, which means one needs to add the equivalent of following to the top of codes featuring the FEBio functionality: 
-```
-const FEBIO_PATH = "/home/kevin/FEBioStudio/bin/febio4"
-```
-
-![](assets/img/febio_example_01.gif) 
+# Combinding with finite element analysis
+For finite element analysis users are encouraged to combine the Comodo capabilities with the open source C++ solver [FEBio](https://febio.org/), e.g. based on the Julia wrapper [FEBio.jl](https://github.com/febiosoftware/FEBio.jl). In addition, users may want to explore the Julia packages [Gridap.jl](https://github.com/gridap/Gridap.jl) and [Ferrite.jl](https://github.com/Ferrite-FEM/Ferrite.jl) for finite element analysis will be explored. 
 
 # Testing 
 Under construction