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    <title>PyPI recent updates for lpcML</title>
    <link>https://pypi.org/project/lpcml/</link>
    <description>Recent updates to the Python Package Index for lpcML</description>
    <language>en</language>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/lpcml/0.1.2/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Thu, 08 May 2025 11:36:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/lpcml/0.1.1/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 06 May 2025 11:57:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/lpcml/0.1.0/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Wed, 23 Apr 2025 12:29:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.15</title>
      <link>https://pypi.org/project/lpcml/0.0.15/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Wed, 16 Apr 2025 12:03:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.14</title>
      <link>https://pypi.org/project/lpcml/0.0.14/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Mon, 14 Apr 2025 09:57:16 GMT</pubDate>
    </item>    <item>
      <title>0.0.13</title>
      <link>https://pypi.org/project/lpcml/0.0.13/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Mon, 14 Apr 2025 09:39:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.12</title>
      <link>https://pypi.org/project/lpcml/0.0.12/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Mon, 14 Apr 2025 09:20:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.11</title>
      <link>https://pypi.org/project/lpcml/0.0.11/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Fri, 11 Apr 2025 08:33:04 GMT</pubDate>
    </item>    <item>
      <title>0.0.10</title>
      <link>https://pypi.org/project/lpcml/0.0.10/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Thu, 02 May 2024 08:18:56 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/lpcml/0.0.9/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Thu, 02 May 2024 08:03:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/lpcml/0.0.8/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 10:59:05 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/lpcml/0.0.7/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 10:52:58 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/lpcml/0.0.6/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 10:05:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/lpcml/0.0.5/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 10:00:42 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/lpcml/0.0.4/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 09:59:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/lpcml/0.0.3/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Tue, 30 Apr 2024 09:31:57 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/lpcml/0.0.2/</link>
      <description>LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells</description>
<author>julian.garcia.fernandez2@usc.es</author>      <pubDate>Mon, 29 Apr 2024 11:26:18 GMT</pubDate>
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