research
∙
05/28/2022
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Uncertainty quantification (UQ) of subsurface two-phase flow usually req...
share
research
∙
05/06/2022
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks
The Li-ion battery is a complex physicochemical system that generally ta...
research
∙
08/05/2021
RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation
Random reconstruction of three-dimensional (3D) digital rocks from two-d...
research
∙
02/21/2020
Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization
Ensemble smoother (ES) has been widely used in various research fields t...
research
∙
09/19/2019
Physics-informed semantic inpainting: Application to geostatistical modeling
A fundamental problem in geostatistical modeling is to infer the heterog...
research
∙
07/10/2018
Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Erro
Bayesian inverse modeling is important for a better understanding of hyd...
research
∙
12/31/2017
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data
Classification of ultrasound (US) kidney images for diagnosis of congeni...
research
∙
12/31/2017
Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation
A novel multi-atlas based image segmentation method is proposed by integ...
research
∙
06/11/2017
