1. Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification. Issue 5 (7th May 2019) Authors: Mo, Shaoxing; Zabaras, Nicholas; Shi, Xiaoqing; Wu, Jichun Journal: Water resources research Issue: Volume 55:Issue 5(2019) Page Start: 3856 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media. Issue 1 (29th January 2019) Authors: Mo, Shaoxing; Zhu, Yinhao; Zabaras, Nicholas; Shi, Xiaoqing; Wu, Jichun Journal: Water resources research Issue: Volume 55:Issue 1(2019) Page Start: 703 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties. Issue 10 (29th September 2022) Authors: Zhou, Zitong; Zabaras, Nicholas; Tartakovsky, Daniel M. Journal: Water resources research Issue: Volume 58:Issue 10(2022) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities. Issue 2 (3rd February 2020) Authors: Mo, Shaoxing; Zabaras, Nicholas; Shi, Xiaoqing; Wu, Jichun Journal: Water resources research Issue: Volume 56:Issue 2(2020) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Transformers for modeling physical systems. (February 2022) Authors: Geneva, Nicholas; Zabaras, Nicholas Journal: Neural networks Issue: Volume 146(2022) Page Start: 272 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗