[Dottorcomp] PAV-IA: Reading seminar "Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning" Tim De Ryck and Siddhartha Mishra

[Siam Student Chapter]

Dear all,

We're pleased to invite you to our next talk in the series of *informal*
lunch seminars, *Pav-IA*, hosted by the SIAM Student Chapter of Pavia.

*The upcoming seminar will be  different from the typical PAV-IA seminar,
this will be our first "Reading seminar".  Which means that **the speaker
will present and discuss an article of interest*
*, instead of giving an introduction to a general topic. *

*Upcoming Seminar:*

   - *Title: *Numerical analysis of physics-informed neural networks and
   related models in physics-informed machine learning
   <https://www.cambridge.org/core/journals/acta-numerica/article/numerical-analysis-of-physicsinformed-neural-networks-and-related-models-in-physicsinformed-machine-learning/A059C6E13478F0F7C70EC7C976716F9F>
   .


   - *Authors: *Tim De Ryck and Siddhartha Mishra.


   - *Speaker*: Luca Pellegrini.


   - *Description*:  This article aims to provide a comprehensive review of
   currently available results on the numerical analysis of PINNs
   <https://www.sciencedirect.com/science/article/pii/S0021999118307125>
   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.


   - *Where and when: *Tuesday, January 28th, from 13:00 to 14:00 , at the
   Aula Beltrami, Department of Mathematics, University of Pavia.

*If you haven't already done so, please fill out this short form
<https://docs.google.com/forms/d/1-kH0a4VIVMZLOzGN0CHFN4Bi6A861IPLv8-9wN3Vk6c/edit>
to attend.*

We look forward to your participation!

Stay updated on SIAM Chapter activities by visiting our website
<https://sites.google.com/view/siam-unipv/home>.

Sincerely,
Luca and Massimiliano