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paper.md

@@ -33,7 +33,7 @@ bibliography: paper.bib
 
 # Summary
 
-`hydrogen_transport_materials` is designed to streamline and automate the analysis of hydrogen transport properties. By integrating a variety of features such as unit conversion with `pint`, data fitting, and comprehensive bibliographic support, the module simplifies workflows that traditionally involve a variety of manual steps. It provides a robust API for seamless integration into existing research pipelines and allows users to interact with both raw and processed data through a user-friendly online dashboard built using Plotly Dash (see \autoref{fig:dashboard}). The module supports exporting analysis results in various formats, including JSON and LaTeX, enhancing its utility for generating reports, publications, or further analysis. With an emphasis on open-source development and version control, it promotes community collaboration and continuous improvement, allowing for quick resolution of issues and the release of patch versions when necessary. This tool is highly versatile, designed to support researchers in the field by automating repetitive tasks and ensuring the reproducibility of their analyses.
+`hydrogen_transport_materials` is designed to streamline and automate the analysis of hydrogen transport properties. By integrating a variety of features such as unit conversion with `pint`, data fitting with `scipy`, and comprehensive bibliographic support (`bibtex`), the module simplifies workflows that traditionally involve a variety of manual steps. It provides a robust API for seamless integration into existing research pipelines and allows users to interact with both raw and processed data through a user-friendly online dashboard built using `plotly-dash` (see \autoref{fig:dashboard}). The module supports exporting analysis results in various formats, including JSON and LaTeX, enhancing its utility for generating reports, publications, or further analysis. With an emphasis on open-source development and version control, it promotes community collaboration and continuous improvement, allowing for quick resolution of issues and the release of patch versions when necessary. This tool is highly versatile, designed to support researchers in the field by automating repetitive tasks and ensuring the reproducibility of their analyses.
 
 # Statement of need
 
@@ -48,7 +48,7 @@ Firstly, the manual aggregation process is prone to errors, including copy-paste
 Additionally, inconsistencies in data fitting and referencing often arise, further complicating the reliability of these reviews.
 
 Another major issue is the lack of transparency in traditional reviews.
-The methodologies and sources used are not always clear, making it difficult for other researchers to verify the accuracy of the compiled data. For example, whether a property is given in units of H atoms or H2 molecules, various unit conversions with undefined parameters such as temperature or density, or as simple as a paper not including the units of the properties.  
+The methodologies and sources used are not always clear, making it difficult for other researchers to verify the accuracy of the compiled data. For example, whether a property is given in units of $\mathrm{H}$ atoms or $\mathrm{H}_2$ molecules, various unit conversions with undefined parameters such as temperature or density, or as simple as a paper not including the units of the properties.  
 Moreover, once published, these reviews become static documents that do not accommodate new data or corrections, leading to obsolescence.
 As new research emerges, the reviews quickly become outdated, and errors that are identified post-publication are rarely, if ever, corrected.