<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Polymer Mechanics - Tag - Jorgen Bergstrom</title><link>https://bergstrom.org/tags/polymer-mechanics/</link><description>Polymer Mechanics - Tag - Jorgen Bergstrom</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Jorgen Bergstrom</copyright><lastBuildDate>Mon, 14 Sep 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://bergstrom.org/tags/polymer-mechanics/" rel="self" type="application/rss+xml"/><item><title>Rubber or Thermoplastic: a Stress-Strain Image Classifier</title><link>https://bergstrom.org/posts/elastomer_thermoplastic_classifier/</link><pubDate>Mon, 14 Sep 2026 00:00:00 -0500</pubDate><author>Jorgen Bergstrom</author><guid>https://bergstrom.org/posts/elastomer_thermoplastic_classifier/</guid><description>Introduction A common way to learn how Convolutional Neural Networks (CNNs) work is to develop a tool that can classify whether an image is a cat or a dog (in this case all images are either of a cat or of a dog, no other options are allowed). I created an example that does just that.
Since my background is in polymer mechanics, I wanted a more interesting version of this classification task: given an image of a stress-strain curve, decide whether it comes from a rubber material or a thermoplastic.</description></item></channel></rss>