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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.00422/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2410.00422/feed.xml" rel="self" type="application/rss+xml" /><item><title>Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems — mentioned by rramadass</title><link>https://news.ycombinator.com/item?id=48292821</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.00422:48292821</guid><pubDate>Wed, 27 May 2026 11:49:15 GMT</pubDate><description>&lt;p&gt;Some more resources; 1) Wikipedia - https://en.wikipedia.org/wiki/Physics-informed_neural_networ... 2) Physics Informed Deep Learning - https://maziarraissi.github.io/PINNs/ 3) Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems - https://arxiv.org/html/2410.00422v1 4) An Expert&amp;#x27;s Guide to Training Physics-informed Neural Networks - https://arxiv.org/abs/2308.08468 5) Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges - https://www.mdpi.com/2673-2688/5/3/74&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.00422/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CE</category></item></channel></rss>
