Category: News

Our group will give 3 talks and a poster at SIAM CSE 2021

Posted on by Jian-Xun Wang

I will organize a mini-symposium entitled “Physics Informed Learning for Modeling and Discovery of Complex Systems” Parts I and II on 03/03/2021 at SIAM CSE. Moreover, our group will also give several talks at CSE21.

MS Talk: Wang et al. Physics-Informed Discretization-Based Learning: a Unified Framework for Solving PDE-Constrained Forward and Inverse Problem (2:15-2:30 CST, 03/03/2021) https://meetings.siam.org/sess/dsp_talk.cfm?p=108358

MS Talk: Han et al. Suppreresolution and Denoising of Flow Imaging using Physics-Constrained Discrete Learning (4:35-4:50 CST, 03/01/2021) https://meetings.siam.org/sess/dsp_talk.cfm?p=108020

MS Talk: Sun et al. System Identification by Sparse Bayesian Learinng (5:35-5:50 CST, 03/04/2021) https://meetings.siam.org/sess/dsp_talk.cfm?p=108437

Poster: Pan et al. Patient-Specific CFD Modeling of Aortic Dissection Augmented with 4D Flow MRI https://meetings.siam.org/sess/dsp_talk.cfm?p=110813

Our group will give 4 talks at 73rd Annual Meeting of APS Division of Fluid Dynamics

Posted on by Jian-Xun Wang
Please check out our presentations at APS DFD:

R01.00011: Super-resolution and Denoising of Fluid Flows Using Physics-informed Convolutional Neural Networks
Jian-Xun Wang, Han Gao, Luning Sun

R01.00038: A unifying framework of solving forward and inverse problems in fluid mechanics via deep learning
Han Gao, Jian-Xun Wang

R10.00002 Physics-constrained multi-fidelity convolutional neural networks for surrogate fluid modeling 
Luning Sun, Han Gao, Jian-Xun Wang

W07.00012 Computational simulation of aortic dissection with a comparison with 4D flow MRI 
Pan Du, Nicholas Burris, Julio Sotelo, Jian-Xun Wang

http://meetings.aps.org/Meeting/DFD20/Content/3927