Ying Da Wang

According to our database, Ying Da Wang authored at least 8 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells.

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

Comput. Chem. Eng., 2022

2021

Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images.

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi

Appl. Soft Comput., 2021

2020

Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation.

Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, James E. McClure, Thomas Ramstad, Peyman Mostaghimi

J. Comput. Phys., 2020

ML-LBM: Machine Learning Aided Flow Simulation in Porous Media.

Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, Peyman Mostaghimi

CoRR, 2020

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images.

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong, Peyman Mostaghimi

CoRR, 2020

Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC.

James E. McClure, Junqi Yin, Ryan T. Armstrong, Ketan C. Maheshwari, Sean R. Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019

Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning.

Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi

CoRR, 2019

Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images.

Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi

CoRR, 2019