<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Semiconductor on Disentangled</title><link>/tags/semiconductor/</link><description>Recent content in Semiconductor on Disentangled</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright (c) 2020-2026 Thulite</copyright><lastBuildDate>Thu, 18 Jun 2026 16:04:48 +0200</lastBuildDate><atom:link href="/tags/semiconductor/index.xml" rel="self" type="application/rss+xml"/><item><title>TDA applied to wafer defects</title><link>/articles/applications/wafer_tda/</link><pubDate>Thu, 18 Jun 2026 16:04:48 +0200</pubDate><guid>/articles/applications/wafer_tda/</guid><description>&lt;p&gt;Topological data analysis (TDA) typically shines on data that has a shape and structure. In nature, such patterns arise constantly. Proteins have cavities and tunnels, galaxies form filaments, and porous materials are characterized by their network of interconnected channels. Although these kinds of structure do contain some amount of randomness (i.e. a stochastic process that underlies the formation), it seems that Nature prefers shape over uniformity. Only through shape can the intricate structures that dictate our biology even be formed.&lt;/p&gt;</description></item></channel></rss>