<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bond Energies from a Diatomics-in-Molecules Neural Network · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1703.08640/</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/1703.08640/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bond Energies from a Diatomics-in-Molecules Neural Network — HN submission</title><link>https://news.ycombinator.com/item?id=13987265</link><guid isPermaLink="false">urn:hackerpapers:submission:1703.08640:13987265</guid><pubDate>Wed, 29 Mar 2017 15:35:12 GMT</pubDate><description>&lt;p&gt;A Chemical Bond Neural-Network which makes human intuition rigorous&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;6 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1703.08640/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>physics.chem-ph</category></item></channel></rss>
