Update README.md (#302)

Fixed errors in readme and specified that docker container is preferred for HPC systems

README.md

@@ -1,6 +1,7 @@
 # svFSIplus
 
-[![Build Status](https://github.com/SimVascular/svFSIplus/actions/workflows/test.yml/badge.svg)](https://github.com/SimVascular/svFSIplus/actions)
+[![Build Status (Ubuntu)](https://github.com/SimVascular/svFSIplus/actions/workflows/test_ubuntu.yml/badge.svg)](https://github.com/SimVascular/svFSIplus/actions)
+[![Build Status (macOS)](https://github.com/SimVascular/svFSIplus/actions/workflows/test_macos.yml/badge.svg)](https://github.com/SimVascular/svFSIplus/actions)
 [![codecov](https://codecov.io/github/SimVascular/svFSIplus/graph/badge.svg?token=I848DNIHSP)](https://codecov.io/github/SimVascular/svFSIplus)
 ![Latest Release](https://img.shields.io/github/v/release/SimVascular/svFSIplus?label=latest)
 ![Platform](https://img.shields.io/badge/platform-macOS%20|%20linux-blue)
@@ -34,7 +35,7 @@ The [svFSIplus Internal Code Documentation](https://simvascular.github.io/svfsip
 <!--- =================================================================================== -->
 
 <h1 id="docker_container">  Docker </h1>
-The preferred way to use svFSIplus, is to take advantage of the provided Docker container, which include the latest version of svFSIplus pre-compiled. To use this option, Docker must be installed first. Please refer to [Docker webpage](https://www.docker.com/products/docker-desktop/) to know more about Docker and how to install it on your machine. The following steps describe how to build a Docker image or pull an existent one from DockerHub, and how to run a Docker container. The last section is a brief guide to perform the same steps but in Singularity, since HPC systems usually use Singularity to handle containers.
+The preferred way to use svFSIplus on an HPC system, is to take advantage of the provided Docker container, which include the latest version of svFSIplus pre-compiled. To use this option, Docker must be installed first. Please refer to [Docker webpage](https://www.docker.com/products/docker-desktop/) to know more about Docker and how to install it on your machine. The following steps describe how to build a Docker image or pull an existent one from DockerHub, and how to run a Docker container. The last section is a brief guide to perform the same steps but in Singularity, since HPC systems usually use Singularity to handle containers.
 
 ## Docker image
 A Docker image is a read-only template that may contain dependencies, libraries, and everything needed to run a program. It is like a snapshot of a particular environment. 
@@ -148,7 +149,7 @@ mpirun --mca psec ^munge -n #TotalNumberOfTasks ...
 <!--- =================================================================================== -->
 
 <h1 id="building"> Building the svFSIplus Program from Source </h1>
-The svFSIplus program can be compiled and linked from the GitHub source using a CMake build process. The build process creates a binary executable file named **svfsiplus**.
+The svFSIplus program can be compiled and linked from the GitHub source using a CMake build process. The build process creates a binary executable file named <b>svfsiplus</b>.
 
 ## Supported Platforms
 
@@ -194,8 +195,8 @@ svFSIplus is built using the following steps
 3) Create a build directory and change directories to it
 
    ```
-   mkdir fsiplus-build
-   cd fsiplus-build
+   mkdir build
+   cd build
    ```
 
 4) Execute the build
@@ -206,7 +207,7 @@ svFSIplus is built using the following steps
    ```
    This creates the **svfsiplus** binary executable located in
    ```
-   fsiplus-build/svFSIplus-build/bin/svfsiplus
+   build/svFSIplus-build/bin/svfsiplus
    ```
 
 
@@ -387,4 +388,4 @@ A simulation can be run in parallel on four processors using
 ```
 mpiexec -np 4 svfsiplus fluid3.xml
 ```
-In this case a directory named `4-procs` containing the simulation results output will be created. Results from different processors will be combined into a single file for a given time step.
+In this case a directory named `4-procs` containing the simulation results output will be created. Results from different processors will be combined into a single file for a given time step.