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54 changes: 43 additions & 11 deletions seminar/index.html
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Expand Up @@ -360,21 +360,56 @@ <h3 id="next-talk"><i class="fa fa-star"></i> Next Talk</h3>
<p>&nbsp;</p>
</div>
<div class="col-md-3">
<p><img alt="" src="../img/seminar/sevilla.jpg" /></p>
<p><img alt="" src="../img/seminar/panozzo.jpg" /></p>
</div>
<div class="col-md-12">
<h4 id="ruben-sevilla-swansea-university">Rubén Sevilla (Swansea University)</h4>
<h5 id="mesh-generation-and-adaptation-using-green-ai"><em>Mesh generation and adaptation using green AI</em></h5>
<h5 id="9am-pdt-september-17-2024"><a href="https://everytimezone.com/s/022a03be"><strong>9am PDT, September 17, 2024</strong></a></h5>
<p><a href="https://llnlfed.webex.com/meet/mittal3"><button type="button" class="btn btn-success">
<h4 id="daniele-panozzo-courant-institute-nyu">Daniele Panozzo (Courant Institute, NYU)</h4>
<h5 id="title-tba"><em>Title: TBA</em></h5>
<h5 id="9am-pdt-october-1-2024"><a href="https://everytimezone.com/s/0ed214f7"><strong>9am PDT, October 1, 2024</strong></a></h5>
<p><a href=""><button type="button" class="btn btn-success">
<strong>Webex</strong>
</button></a></p>
<p><strong>Abstract:</strong> Most methods used to solve partial differential equations require creating a mesh that represents the model's geometry. Today, unstructured mesh technology is widely used, allowing three-dimensional meshes with hundreds of millions of elements to be generated in just a few minutes. However, when optimising a design, many simulations are needed for different operating conditions and geometric configurations. Creating the best mesh for each setup becomes time-consuming due to the requirement of excessive human intervention and expertise.</p>
<p>This talk will cover our recent work on using artificial intelligence to predict near-optimal meshes suitable for simulations. The main idea is to take advantage of the large amount of data that already exists in the industry to improve the selection of a suitable spacing function, including anisotropic spacing. The proposed approach aims to use knowledge from previous simulations to guide the mesh generation process. I will assess the proposed method based on the accuracy of the predictions, efficiency, and environmental impact. This includes considering the carbon footprint and energy consumption of the computations required for a parametric CFD analysis under different flow conditions and angles of attack.</p>
<p>For transient problems, the use of high order methods provides several advantages due to the low dissipation and dispersion errors associated to these schemes. An attractive approach to simulate these problems is to incorporate degree adaptive schemes to enhance the approximation only where needed. In this talk I will also present our recent work on using artificial intelligence to aid a degree adaptive process.</p>
<p><strong>Abstract:</strong> TBA</p>
<hr />
<h3 id="previous-talks"><i class="fa fa-check" aria-hidden="true"></i> Previous Talks</h3>
</div>
<div class="col-md-3">
<p><img alt="" src="../img/seminar/sevilla.jpg" /></p>
</div>
<div class="col-md-12">
<h4 id="ruben-sevilla-swansea-university">Rubén Sevilla (Swansea University)</h4>
<h5 id="mesh-generation-and-adaptation-using-green-ai"><em>Mesh generation and adaptation using green AI</em></h5>
<h5 id="september-17-2024">September 17, 2024</h5>
<p><a href="pdf/seminar/sevilla.pdf"><button type="button" class="btn btn-primary">
<strong>Slides</strong>
</button></a>
&nbsp;&nbsp;
<a href=""><button type="button" class="btn btn-success">
<strong>Talk Recording</strong>
</button></a></p>
<p><strong>Abstract:</strong> Most methods used to solve partial differential equations require
creating a mesh that represents the model's geometry. Today, unstructured mesh
technology is widely used, allowing three-dimensional meshes with hundreds of
millions of elements to be generated in just a few minutes. However, when
optimising a design, many simulations are needed for different operating
conditions and geometric configurations. Creating the best mesh for each setup
becomes time-consuming due to the requirement of excessive human intervention
and expertise. This talk will cover our recent work on using artificial
intelligence to predict near-optimal meshes suitable for simulations. The main
idea is to take advantage of the large amount of data that already exists in the
industry to improve the selection of a suitable spacing function, including
anisotropic spacing. The proposed approach aims to use knowledge from previous
simulations to guide the mesh generation process. I will assess the proposed
method based on the accuracy of the predictions, efficiency, and environmental
impact. This includes considering the carbon footprint and energy consumption of
the computations required for a parametric CFD analysis under different flow
conditions and angles of attack. For transient problems, the use of high order
methods provides several advantages due to the low dissipation and dispersion
errors associated to these schemes. An attractive approach to simulate these
problems is to incorporate degree adaptive schemes to enhance the approximation
only where needed. In this talk I will also present our recent work on using
artificial intelligence to aid a degree adaptive process.</p>
</div>
<div class="col-md-6">
<p><img alt="" src="../img/seminar/ferrer+huergo.jpg" /></p>
</div>
Expand Down Expand Up @@ -1004,9 +1039,6 @@ <h5 id="january-20-2022">January 20, 2022</h5>
<hr />
<h3 id="future-talks"><i class="fa fa-calendar" aria-hidden="true"></i> Future Talks</h3>
<p>&nbsp;</p>
<h4 id="daniele-panozzo-courant-institute-nyu">Daniele Panozzo (Courant Institute, NYU)</h4>
<h5 id="october-1-2024"><strong>October 1, 2024</strong></h5>
<p>&nbsp;</p>
<h4 id="denis-ridzal-sandia-national-laboratories">Denis Ridzal (Sandia National Laboratories)</h4>
<h5 id="october-15-2024"><strong>October 15, 2024</strong></h5>
<p>&nbsp;</p>
Expand Down
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