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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.07697/</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/2206.07697/feed.xml" rel="self" type="application/rss+xml" /><item><title>MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields — mentioned by lukeplato</title><link>https://news.ycombinator.com/item?id=40357968</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.07697:40357968</guid><pubDate>Tue, 14 May 2024 17:52:09 GMT</pubDate><description>&lt;p&gt;interatomic potential is a promising scale and there&amp;#x27;s been some interesting recent developments using equivariant graph neural networks: https://www.nature.com/articles/s41467-022-29939-5 https://arxiv.org/pdf/2206.07697&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.07697/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
