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    <title>PyPI recent updates for tes-thermo</title>
    <link>https://pypi.org/project/tes-thermo/</link>
    <description>Recent updates to the Python Package Index for tes-thermo</description>
    <language>en</language>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/tes-thermo/0.1.11/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach written as a nonlinear programming problem with Pyomo and is solved using IPOPT.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Wed, 07 Jan 2026 02:37:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/tes-thermo/0.1.10/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach written as a nonlinear programming problem with Pyomo and is solved using IPOPT.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Wed, 07 Jan 2026 02:35:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/tes-thermo/0.1.9/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach written as a nonlinear programming problem with Pyomo and is solved using IPOPT.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Wed, 07 Jan 2026 02:33:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/tes-thermo/0.1.8/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach written as a nonlinear programming problem with Pyomo and is solved using IPOPT.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Sat, 16 Aug 2025 18:36:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/tes-thermo/0.1.7/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Fri, 15 Aug 2025 03:23:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/tes-thermo/0.1.6/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Fri, 15 Aug 2025 02:39:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/tes-thermo/0.1.5/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Fri, 15 Aug 2025 02:36:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/tes-thermo/0.1.4/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Fri, 15 Aug 2025 02:30:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/tes-thermo/0.1.3/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Fri, 15 Aug 2025 02:27:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/tes-thermo/0.1.2/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Sat, 26 Jul 2025 21:30:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tes-thermo/0.1.1/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Sat, 26 Jul 2025 21:24:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tes-thermo/0.1.0/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Wed, 16 Jul 2025 03:03:31 GMT</pubDate>
    </item>    <item>
      <title>0.0.9</title>
      <link>https://pypi.org/project/tes-thermo/0.0.9/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Tue, 15 Jul 2025 00:44:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/tes-thermo/0.0.8/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:39:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/tes-thermo/0.0.7/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:36:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/tes-thermo/0.0.6/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:33:46 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/tes-thermo/0.0.5/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:31:39 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/tes-thermo/0.0.4/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:27:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/tes-thermo/0.0.3/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:21:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/tes-thermo/0.0.2/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:18:09 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/tes-thermo/0.0.1/</link>
      <description>TeS is a tool for simulating reaction processes. It uses the Gibbs energy minimization approach with the help of Pyomo and Ipopt as solvers.</description>
<author>mitoura96@outlook.com</author>      <pubDate>Mon, 14 Jul 2025 22:13:25 GMT</pubDate>
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