Ying Da Wang

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Computed Tomography

Top Venues

J. Comput. Phys.

Appl. Soft Comput.

Publications

Kunning Tang, Quentin Meyer, Robin White, Ryan T. Armstrong, Peyman Mostaghimi, Ying Da Wang, Shiyang Liu, Chuan Zhao, Klaus Regenauer-Lieb, Patrick Kin Man Tung
Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells. Comput. Chem. Eng. 161 (2022)
Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi
Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images. Appl. Soft Comput. 104 (2021)
James E. McClure, Junqi Yin, Ryan T. Armstrong, Ketan C. Maheshwari, Sean Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers
Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC. SMC (2020)
Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, Peyman Mostaghimi
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media. CoRR (2020)
Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images. CoRR (2020)
Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, James E. McClure, Thomas Ramstad, Peyman Mostaghimi
Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation. J. Comput. Phys. 401 (2020)
Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images. CoRR (2019)
Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning. CoRR (2019)