Fixed typos in README

README.md

@@ -4,32 +4,32 @@ Polymer-Oriented LibrarY of Monomer Expression Rules and In-silico Synthesis Too
 [![GitHub Actions Build Status](https://github.com/timbernat/polymerist/workflows/CI/badge.svg)](https://github.com/timbernat/polymerist/actions?query=workflow%3ACI)
 [![codecov](https://codecov.io/gh/timbernat/polymerist/main/graph/badge.svg)](https://codecov.io/gh/timbernat/polymerist/branch/main)
 
-A unified set of tools for setting up molecular dynamics simulations for general organic polymer systems. Based upon concepts introduced in ["Parameterization of General Organic Polymers within the Open Force Field Framework" (Davel, Connor M., Bernat, Timotej, Wagner, Jeffrey R., and Shirts, Michael R.)](https://pubs.acs.org/doi/10.1021/acs.jcim.3c01691)
+A unified set of tools for setting up molecular dynamics simulations of general organic polymer systems. Based upon concepts introduced in ["Parameterization of General Organic Polymers within the Open Force Field Framework" (Davel, Connor M., Bernat, Timotej, Wagner, Jeffrey R., and Shirts, Michael R.)](https://pubs.acs.org/doi/10.1021/acs.jcim.3c01691)
 
 ![abstract](docs/_static/polymer_param_graphic_TOC.png)
 
 ## Features
 Includes functionality for:
 * Generating monomer residue templates
 * Performing automated *in silico* polymerization reactions
-* Building linear homopolymer and copolymer chains
+* Building linear homopolymers and copolymers (both topologies and coordinates)
 * Force-field parameterization within the [OpenFF](https://openforcefield.org/about/organization/) framework
 * Interfaces to semi-empirical and graph neural network-based atomic partial charge assignment
 * Much more!
 
 ## Examples
-Examples of how to invoke and use some of the core features of `polymerist` can be found in the accompanying [polymerist_examples repository](https://github.com/timbernat/polymerist_examples). Homepage and build files for `polymerist` are hosted on [PyPI](https://pypi.org/project/polymerist/).
+Examples of how to import and invoke the core features of `polymerist` can be found in the accompanying [polymerist_examples repository](https://github.com/timbernat/polymerist_examples). Homepage and build files for `polymerist` are hosted on [PyPI](https://pypi.org/project/polymerist/).
 
 ## Requirements
 ### OS
-`polymerist` is compatible with Linux (recommended) and Mac machines capable of installing Python 3.11. Due to [lack of support from AmberTools](https://ambermd.org/InstWindows.php), direct installation on Windows machines is not supported; **however**, this can be easily circumvented by using the [Windows Subsystem for Linux (WSL2)](https://learn.microsoft.com/en-us/windows/wsl/install)
+`polymerist` is compatible with Linux (recommended) and Mac machines capable of installing Python 3.11. Due to [lack of support from AmberTools](https://ambermd.org/InstWindows.php), direct installation on Windows machines is not supported; **however**, this can easily be circumvented by using the [Windows Subsystem for Linux (WSL2)](https://learn.microsoft.com/en-us/windows/wsl/install)
 
 ### Python package manager
 Before proceeding with installation, ensure you have some iteration of a Python package and environment management system installed on your machine. If you don't already have one installed, it's recommended you install either of:
 * `mamba` through [Miniforge](https://mamba.readthedocs.io/en/latest/installation/mamba-installation.html)
 * `conda` either as the lightweight [Miniconda](https://docs.anaconda.com/free/miniconda/miniconda-install/) or the significantly bulkier [Anaconda](https://www.anaconda.com/download). 
 
-**`mamba` is very rapid and is the recommended package manager for this install; if you opt to use `conda` over `mamba`, be prepared for a markedly slower and more tedious install process!** Users with a pre-existing conda installation can [still install mamba](https://anaconda.org/conda-forge/mamba), so there's really no rason not to use it.
+**`mamba` is very rapid and is the recommended package manager for this install; if you opt to use `conda` over `mamba`, be prepared for a markedly slower and more tedious install process!** Users with a pre-existing conda installation can [still install mamba](https://anaconda.org/conda-forge/mamba), so there's really no reason not to use it.
 
 Once you have a package manager installed, you may proceed with one of the provided [polymerist installation methods](#installation).
 
@@ -81,18 +81,18 @@ mamba activate polymerist-env; python
 ### 2) Parameterization toolkits
 Assigning atomic partial charges using some flavor of [AM1-BCC](https://docs.eyesopen.com/toolkits/python/quacpactk/molchargetheory.html#am1bcc-charges) with `polymerist` also requires installation of some supplementary toolkits.
 
-One can mix-and-match install of any combination of the toolkits below to taste or (if impatient or indifferent) opt for a "shotgun" approach and install all 3 with the following commands:
+One can mix-and-match installing any combination of the toolkits below to taste or (if impatient or indifferent) opt for a "shotgun" approach and install all 3 with the following commands:
 ```sh
 mamba activate polymerist-env
 mamba install -c openeye openeye-toolkits
 mamba install -c conda-forge espaloma_charge openff-nagl>=0.4
 ```
 
 #### 2.1) [OpenEye toolkits (closed-source)](https://docs.eyesopen.com/toolkits/python/intro.html)
-This toolkits is required to perform explicit [AM1-BCC charge assignment with conformer selection](https://docs.eyesopen.com/toolkits/python/quacpactk/molchargetheory.html#elf-conformer-selection) and enhanced OpenFF conformer generation, but **`polymerist` does not *require* OpenEye to work**. If you already have (or can obtain) an OpenEye [license](https://docs.eyesopen.com/toolkits/python/quickstart-python/license.html) and wish to install the OpenEye toolkits individually, follow the [install instructions](https://docs.eyesopen.com/toolkits/python/quickstart-python/linuxosx_anaconda.html#:~:text=Install%20the%20OpenEye%20Python%20Toolkits%20into%20the%20new%20environment%3A) provided by OpenEye
+These toolkits are required to perform explicit [AM1-BCC charge assignment with conformer selection](https://docs.eyesopen.com/toolkits/python/quacpactk/molchargetheory.html#elf-conformer-selection) and enhance OpenFF conformer generation, but **`polymerist` does not *require* OpenEye to work**. If you already have (or can obtain) an OpenEye [license](https://docs.eyesopen.com/toolkits/python/quickstart-python/license.html) and wish to install the OpenEye toolkits individually, follow the [install instructions](https://docs.eyesopen.com/toolkits/python/quickstart-python/linuxosx_anaconda.html#:~:text=Install%20the%20OpenEye%20Python%20Toolkits%20into%20the%20new%20environment%3A) provided by OpenEye
 
 #### 2.2) [Espaloma-charge](https://github.com/choderalab/espaloma-charge)
-This is standalone graph neural network (GNN) model [Wang et. al.](https://pubs.acs.org/doi/10.1021/acs.jpca.4c01287) which can assign atomic partial charges trained on AM1-BCC data extremely rapidly. To install individually, follow the [install instructions](https://github.com/choderalab/espaloma-charge?tab=readme-ov-file#installation) provided by its developers.
+This is a standalone graph neural network (GNN) model [Wang et. al.](https://pubs.acs.org/doi/10.1021/acs.jpca.4c01287) which can assign atomic partial charges trained on AM1-BCC data extremely rapidly. To install individually, follow the [install instructions](https://github.com/choderalab/espaloma-charge?tab=readme-ov-file#installation) provided by its developers.
 
 #### 2.3) [OpenFF NAGL](https://docs.openforcefield.org/projects/nagl/en/latest/index.html)
 This is an OpenFF-specific GNN based on similar architecture to Espaloma with a generally better validated partial charge model. To install individually, follow the [install instructions](https://docs.openforcefield.org/projects/nagl/en/latest/installation.html#:~:text=If%20you%20prefer%2C%20NAGL%20may%20be%20installed%20into%20the%20current%20environment%3A) provided by the OpenFF NAGL documentation.
@@ -118,21 +118,21 @@ conda env create -n polymerist-env -f devtools/conda-envs/release-build.yml
 conda activate polymerist-env
 pip install .
 ```
-Once the source install is complete, you no longer need the clone of the polymerist repo and can remove it from you file system.
+Once the source install is complete, you no longer need the clone of the polymerist repo and can remove it from your file system.
 
 ### Developer installation (for advanced users only)
-Those developing for `polymerist` may like to have an editable local installation, in which they can make changes to the source code and test behavior changes in real-time. In this case, one requires an "editable build" which does **NOT** live in the site_packages dir of the created env. This type of installation proceeds as follows:
+Those developing for `polymerist` may like to have an editable local installation, in which they can make changes to the source code and test behavior changes in real-time. In this case, one requires an "editable build" which mirrors the source files that live in the site_packages directory of the created environment. This type of installation proceeds as follows:
 ```sh
 git clone https://github.com/timbernat/polymerist
 cd polymerist
 mamba env create -n polymerist-dev -f devtools/conda-envs/dev-build.yml
 mamba activate polymerist-dev
 pip install -e . --config-settings editable_mode=strict
 ```
-The `--config-settings editable_mode` flag in the final line allows this install to "play nicely" with PyLance, making auto-completion and navigation to source code much easier for VSCode users. It is optional, and can be removed if this compatibility is not desired.
+The `--config-settings editable_mode` flag in the final line allows this installation to "play nicely" with PyLance, making auto-completion and navigation to source code much easier for VSCode users. **It is optional, and can be removed if this compatibility is not desired**
 
 ## Documentation
-Documentations for `polymerist` (work in progress) can be found on [ReadTheDocs](https://polymerist.readthedocs.io/en/latest/index.html)
+Documentation for `polymerist` (work in progress) can be found on [ReadTheDocs](https://polymerist.readthedocs.io/en/latest/index.html)
 
 ### Copyright