Extracting Thermodynamic Properties from the NIST Chemistry WebBook using Python
<p>I’m working on a little machine learning project that uses chemical information to predict a few properties of materials. As part of this project, I needed to extract thermodynamic properties of a variety of materials. One of the sources I’m using to obtain data for this project is the <a href="https://webbook.nist.gov/chemistry/" rel="noopener ugc nofollow" target="_blank">NIST Chemistry WebBook</a> which contains thermodynamic information for over 40,000 chemical compounds. As such, I figured I’d write a quick tutorial article to share my process for obtaining this information using Python in case someone ever needs to do something similar. You can find the full routine in my GitHub repository located here.</p>
<p><a href="https://victormurcia-53351.medium.com/extracting-thermodynamic-properties-from-the-nist-chemistry-webbook-using-python-4008bd9736c3"><strong>Read More</strong></a></p>