<div dir="ltr"><div id="gmail-:16q" class="gmail-a3s gmail-aiL"><div dir="ltr"><div>Dear all,</div><div><br></div><div>This
is a gentle reminder about <b>Today's</b> Seminar of PAV-IA, from <b>13:00 to
14:00 </b>at the Department of Mathematics in Aula Beltrami.<span></span></div><div><span><br></span></div><div><span><b><u>The
upcoming seminar will be different from the typical PAV-IA seminar,
this will be our first "Reading seminar". Which means that </u></b></span><b><u>the speaker will present and discuss an article of interest</u></b><span><b><u>, instead of giving an introduction to a general topic. <br></u></b></span></div><div><span><b><u><br></u></b></span></div><div><div><div><b>Upcoming Seminar:</b></div><div><ul><li><b>Title: </b><a href="https://www.cambridge.org/core/journals/acta-numerica/article/numerical-analysis-of-physicsinformed-neural-networks-and-related-models-in-physicsinformed-machine-learning/A059C6E13478F0F7C70EC7C976716F9F" target="_blank">Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning</a>.</li></ul><div><ul><li><b>Authors: </b>Tim De Ryck and Siddhartha Mishra.</li></ul></div><div><ul><li><b>Speaker</b>: Luca Pellegrini.</li></ul><div><ul><li><b>Description</b>: This article aims to provide a comprehensive review of currently available results on the numerical analysis of <a href="https://www.sciencedirect.com/science/article/pii/S0021999118307125" target="_blank">PINNs</a>
and related models that constitute the backbone of physics-informed
machine learning. We provide a unified framework in which analysis of
the various components of the error incurred by PINNs in approximating
PDEs can be effectively carried out. <span> </span></li></ul></div><div><ul><li><b>Where and when:<span> </span></b>Tuesday, January 28th, from 13:00 to 14:00 , at the Aula Beltrami, Department of Mathematics,<span> </span>University of Pavia.</li></ul></div></div></div></div><div><div><div><div><div><b>If you haven't already done so, please fill out this short <a href="https://docs.google.com/forms/d/1-kH0a4VIVMZLOzGN0CHFN4Bi6A861IPLv8-9wN3Vk6c/edit" target="_blank">form</a> to attend.</b></div><div><span><br></span></div><div><span>We look forward to your participation!</span></div><div><div><br></div><div>Stay updated on SIAM Chapter activities by visiting our <a href="https://sites.google.com/view/siam-unipv/home" target="_blank">website</a>. <br></div></div><p><span>Sincerely,</span><span> </span></p>Luca and Massimiliano</div></div></div></div></div></div></div></div>