Add conda link

Add conda link

content/applications/user_software/using_anaconda_package_manager.md

@@ -248,8 +248,7 @@ Using `module load tensorflow-gpu/py36/1.14` and `conda activate tensorflow-gpu-
 
 ### Creating Custom MPI Anaconda Environment
 
-Some conda packages available on `conda-forge` and `bioconda` support MPI (via `openmpi` or `mpich`). 
-**Currently only packages that were built using `openmpi 4.1` and `mpich 4.0` are supported on HCC clusters.**
+Some conda packages available on `conda-forge` and `bioconda` support MPI (via `openmpi` or `mpich`). However, just using the `openmpi` and `mpich` packages from `conda-forge` often does not work on HPC systems. More information about this can be found [here](https://conda-forge.org/docs/user/tipsandtricks.html#using-external-message-passing-interface-mpi-libraries).
 
 In order to be able to correctly use these MPI packages with the MPI libraries installed on our clusters, two steps need to be performed. 
 
@@ -257,6 +256,7 @@ First, at install time, besides the package, the "dummy" package `openmpi=4.1.*=
 These "dummy" packages are empty, but allow the solver to create correct environments and use the system-wide modules when the environment is activated.
 
 Secondly, when activating the conda environment and using the package, the system-wide `openmpi/4.1` or `mpich/4.0` module needs to be loaded depending on the MPI library used.
+**Currently only packages that were built using `openmpi 4.1` and `mpich 4.0` are supported on HCC clusters.**
 
 For example, the steps for creating conda environment with `mpi4py` that supports `openmpi` are:
 {{% panel theme="info" header="Creating Anaconda environment with openmpi" %}}
@@ -275,7 +275,6 @@ conda activate mpi4py-openmpi
 {{< /highlight >}}
 {{% /panel %}}
 
-
 The steps for creating conda environment with `mpi4py` that supports `mpich` are:
 {{% panel theme="info" header="Creating Anaconda environment with mpich" %}}
 {{< highlight bash >}}