MS166D Advancing SCiML Surrogates via Numerical Methods and Vice Versa IV
MS Corresponding Organizer: Dr. Alena Kopanicakova (Brown University)
Chaired by:
Dr. Alena Kopanicakova (Brown University , United States) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Dr. Alena Kopanicakova (Brown University , United States) , Dr. Alexander Heinlein (TU Delft , Netherlands)
Scheduled presentations:
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Super-Resolution of 4D-Flow MRI in the Left Ventricle Using Physics-Informed Neural Networks
F. Shone, N. Ravikumar, M. MacRaild, Z. Taylor, P. Jimack*, A. Frangi, E. Dall'Armellina -
Data-driven surrogate models for an efficient numerical homogenization of open-porous biopolymer aerogels
A. Klawonn, M. Lanser, L. Mager*, A. Rege -
Physics-Informed Neural Networks for Engineering Problems: Challenges of the Application to 3D Stirred Tank Reactors
V. Travnikova*, E. von Lieres, M. Behr -
SGNN: Subgraph Neural Networks for Stress Prediction
B. Ribeiro*, J. Ribeiro, M. Bessa -
Physics-Informed Neural Networks For Bending Analysis Of Composite Plate: Solution Discovery And Parameter Identification
J. Torabi*, J. Niiranen, A. Vaara, T. Frondelius -
Advances in the data-driven framework to accelerate the 2-Level topology optimisation in structural problems
A. Martínez-Martínez*, O. Allix, F. Chinesta, J. Ródenas, E. Nadal
