Our group’s members Alberto Badias and Beatriz Moya have made a nice video with their work on augmented reality and digital twins for this very special night:
Author: ambunizar
Sobre nuestros gemelos digitales
Nuestro trabajo sobre gemelos digitales cognitivos ha aparecido recientemente en distintos medios:
AMB en los medios
Enlace a la entrevista que Aragón Radio ha realizado al miembro de nuestro grupo, Elías Cueto:
Digital twins for fluid sloshing problems
Special issue Comptes Rendus Mécanique
The special issue of Comptes Rendus Mécanique with contributions form the last SEMNI-CSMA workshop held in Jaca, Spain, in 2017, is now available at ow.ly/kykH30kpUIR. This workshop was held on the occasion of the retirement of prof. Pierre Villon (UT Compiegne). The issue has been proudly edited by P. Breitkopf, F. Chinesta and E. Cueto.
Workshop Advances in Numerical Methods in Engineering
On May 31st, 2018, we will hold a workshop on the occasion of the doctorate honors cause to prof. F. Chinesta. Please consult all the necessary information [here].
ARCME issue devoted to machine learning and computational mechanics
Check out the January issue of Archives of Computational Methods in Engineering. It is a special issue on #MachineLearning in #ComputationalMechanics, guest edited by Professors Elias Cueto and Francisco Chinesta. Enjoy the issue! buff.ly/2mlavz0
Our research, covered in SIAM News
The last number of SIAM News presents an article about data-enabled predictive modeling which covers some of our works in the field of data-driven computational mechanics. You can find it here: https://sinews.siam.org/Details-Page/data-enabled-physics-constrained-predictive-modeling-of-complex-systems
Our paper on local-PGD just accepted
Our paper on local-PGD methods has just been accepted for publication at International Journal for Numerical Methods in Engineering. You can download it at http://amb.unizar.es/PDFs/l-PGD.pdf
AMB broadcasting its activity again
Yesterday, our group member, Elías Cueto, was interviewed in Aragon Radio about computational surgery. You can listen to him from min 7:30 approx. here: http://podcasts.aragonradio2.com/2017/3/20170317_00_58_Agora_-_17_03_2017.mp3
Our last job has been just published in the Public Library of Science (PLOS)ONE journal (Open Access): https://lnkd.in/g8VY9ns
We present a #digitaltwin for fluid sloshing that, through computer vision and making an extensive use of simulation in the background, is able to learn the particular fluid and its behavior—even if the robot has not been exposed to it before—and predict its dynamics in the near future.
A great job by BEATRIZ MOYA, David González, Iciar Alfaro, and Francisco Chinesta, under the financial support from ESI Group, which is gratefully acknowledged.