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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.07735/</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/2409.07735/feed.xml" rel="self" type="application/rss+xml" /><item><title>Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes — mentioned by Melatonic</title><link>https://news.ycombinator.com/item?id=49275871</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.07735:49275871</guid><pubDate>Wed, 12 Aug 2026 17:27:02 GMT</pubDate><description>&lt;p&gt;I meant computationally as in are they much harder to predict and simulate ? Was specifically thinking of quasicrystalline materials and not amorphous. I know some of them have very unconventional properties so I figured they might be useful here. I don&amp;#x27;t think any of them are considered polymers but I could be wrong. For example (no personal connection): https://arxiv.org/abs/2409.07735 Wouldn&amp;#x27;t they require a totally different type of algorithm given that they often contain both a large number of atoms and odd cell size ? And the more dimensionally complex maths&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.07735/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.mtrl-sci</category></item></channel></rss>
