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    <title>PyPI recent updates for DEmap</title>
    <link>https://pypi.org/project/demap/</link>
    <description>Recent updates to the Python Package Index for DEmap</description>
    <language>en</language>    <item>
      <title>0.15.0</title>
      <link>https://pypi.org/project/demap/0.15.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Mon, 03 Nov 2025 13:42:00 GMT</pubDate>
    </item>    <item>
      <title>0.14.0</title>
      <link>https://pypi.org/project/demap/0.14.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Sun, 02 Nov 2025 15:00:55 GMT</pubDate>
    </item>    <item>
      <title>0.13.0</title>
      <link>https://pypi.org/project/demap/0.13.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Fri, 31 Oct 2025 14:32:45 GMT</pubDate>
    </item>    <item>
      <title>0.12.0</title>
      <link>https://pypi.org/project/demap/0.12.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Fri, 31 Oct 2025 14:20:14 GMT</pubDate>
    </item>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/demap/0.11.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Fri, 31 Oct 2025 11:31:13 GMT</pubDate>
    </item>    <item>
      <title>0.10.0</title>
      <link>https://pypi.org/project/demap/0.10.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Fri, 31 Oct 2025 11:09:22 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/demap/0.9.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:54:34 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/demap/0.8.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:53:23 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/demap/0.7.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:50:24 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/demap/0.6.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:41:23 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/demap/0.5.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:36:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/demap/0.4.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 12:28:04 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/demap/0.3.0/</link>
      <description>Machine-learn the threshold displacement energy surface of a material with Gaussian Process Regression. </description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 11:58:20 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/demap/0.2.0/</link>
      <description>A example Python package</description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 11:58:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/demap/0.1.0/</link>
      <description>A example Python package</description>
<author>a.dickson2@lancaster.ac.uk</author>      <pubDate>Thu, 30 Oct 2025 11:58:17 GMT</pubDate>
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