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&amp;amp;[Wolfram Notebook][2]&#xD;
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  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3761138">
    <title>Could AI solve physics? seaching for deeper Lagrangian effectively described close to SM+gravity?</title>
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    <description>Standard Model is extremely well tested, but e.g. is incompatible with general relativity, is rather for effective perturbative approximations, also uses this gigantic Lagrangian found in epicycle-style: by guess&amp;amp;fit terms.&#xD;
&#xD;
So maybe, like in Copernican Revolution, we should search for **compact deeper nonperturbative Lagrangian** (e.g. [Skyrme][1]-like), **effectively described close to Standard Model + gravity**?&#xD;
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Nonperturbative Lagrangians look simple, but have extremely complex consequences - maybe AI could search through them, automatically performing simulations testing various agreements?&#xD;
&#xD;
This kind of approaches have already started, e.g.: &amp;#034;**Towards AI-assisted neutrino flavor theory design**&amp;#034;: https://www.nature.com/articles/s42005-026-02627-2 , &amp;#034;**Agentic Exploration of Physics Models**&amp;#034; https://journals.aps.org/prx/abstract/10.1103/xnqc-q6nt , or https://github.com/openwave-labs/openwave/blob/main/MODELS.md **actually testing such deeper Lagrangian candidates** - currently winning is [liquid-crystal-like][2]: just assumption that field has preferred anisotropy.&#xD;
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What do you think about such approaches?&#xD;
Where to search for such deeper Lagrangians?&#xD;
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Would be great if Wolfram had independent model benchmarking environment like OpenWave ...&#xD;
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![enter image description here][3]&#xD;
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  [2]: https://en.wikipedia.org/wiki/Draft:Liquid_crystal_particle_analogs&#xD;
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    <dc:creator>Jarek Duda</dc:creator>
    <dc:date>2026-07-16T09:52:33Z</dc:date>
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    <description>![Dynamic modeling of a 2D spiderweb&amp;#039;s elastic behavior][1]&#xD;
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  </item>
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    <title>[WSRP26] Matrix-based modeling of particle beam transport</title>
    <link>https://community.wolfram.com/groups/-/m/t/3754335</link>
    <description>![Matrix-based modeling of particle beam transport][1]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=4178hero.PNG&amp;amp;userId=20103&#xD;
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  </item>
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    <title>[WSRP26] Kinematic analysis and link-length optimization of planar robotic manipulators</title>
    <link>https://community.wolfram.com/groups/-/m/t/3754018</link>
    <description>![Kinematic analysis and link-length optimization of planar robotic manipulators][1]&#xD;
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  </item>
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    <title>[WSRP26] Formation of binary star systems</title>
    <link>https://community.wolfram.com/groups/-/m/t/3753850</link>
    <description>![Formation of binary star systems][1]&#xD;
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