Update readme with new demo links

Author: IngeborgGjerde

README.md

@@ -12,6 +12,8 @@ The `graphnics` library solves network models using the finite element method. T
 ## Demos
 
 - [Introduction to `Graphnics`](https://github.com/IngeborgGjerde/graphnics/blob/main/demo/Graphnics%20demo.ipynb).
+- [Pulsatile flow in rat tumour vasculature](https://github.com/IngeborgGjerde/graphnics/blob/main/demo/Pulsatile%20flow%20on%20a%20real%20vascular%20network.ipynb)
+- [Vasomotion in arterial trees](https://github.com/IngeborgGjerde/graphnics/blob/main/demo/Vasomotion%20in%20arterial%20trees.ipynb)
 - [Solving coupled 3d-1d network models](https://github.com/IngeborgGjerde/graphnics/blob/main/demo/Coupled%201d-3d.ipynb) using `fenics_ii`
 
 ## Installation
@@ -20,16 +22,20 @@ We use `networkx` combined with the mixed-dimensional library [`fenics_ii`](http
 The environment is provided as a docker container. The container can be built and run locally by executing
 
 ```shell
-git clone https://github.com/IngeborgGjerde/fenics-networks/
-cd fenics-networks
-docker build --no-cache -t graphnics .
+git clone https://github.com/IngeborgGjerde/graphnics/
+cd graphnics/docker 
+docker build --no-cache -t graphnics . # build docker image
+cd ..
+
+# make container
 docker run --name graphnics-container -v "$(pwd):/home/fenics/shared" -d -p 127.0.0.1:8888:8888 fenics-networks 'jupyter-notebook --ip=0.0.0.0'
 ```
 
 You can then enter the container by running 
 ```shell
-docker exec -it graphncis-container /bin/bash
+docker exec -it graphnics-container /bin/bash
 ```
+
 To connect it to a jupyter notebook, run
 ```shell
 docker logs graphnics-container