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    <title>PyPI recent updates for fabtwin</title>
    <link>https://pypi.org/project/fabtwin/</link>
    <description>Recent updates to the Python Package Index for fabtwin</description>
    <language>en</language>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/fabtwin/0.4.0/</link>
      <description>Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, CVaR robustification through twin and physics at once</description>
      <pubDate>Sun, 13 Sep 2026 06:05:45 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/fabtwin/0.3.0/</link>
      <description>Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, CVaR robustification through twin and physics at once</description>
      <pubDate>Sat, 12 Sep 2026 22:00:30 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/fabtwin/0.2.0/</link>
      <description>Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, CVaR robustification through twin and physics at once</description>
      <pubDate>Thu, 10 Sep 2026 20:33:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/fabtwin/0.1.1/</link>
      <description>Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, CVaR robustification through twin and physics at once</description>
      <pubDate>Thu, 10 Sep 2026 20:10:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/fabtwin/0.1.0/</link>
      <description>Learned generative process twins for yield-aware inverse design of multilayer optics: exact TMM with a hand-derived adjoint, CVaR robustification through twin and physics at once</description>
      <pubDate>Thu, 10 Sep 2026 19:54:01 GMT</pubDate>
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