Reconstruction of 3D digital rocks with controllable porosity using CVAE-GAN
P Chi, J Sun, X Luo, R Cui, H Dong - Geoenergy Science and Engineering, 2023 - Elsevier
Digital rock technology provides an effective approach for analyzing the pore structure and
physical properties of rocks in geophysics and petroleum science. Although deep learning …
physical properties of rocks in geophysics and petroleum science. Although deep learning …
A generative machine learning model for the 3D reconstruction of material microstructure and performance evaluation
Y Zheng, Z Li, Z Song - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
The 3D reconstruction is generally defined as the process of capturing the shape and
appearance of real objects. By reconstructing 3D digital model from a series of 2D slices, it …
appearance of real objects. By reconstructing 3D digital model from a series of 2D slices, it …
Transformer-based deep learning models for predicting permeability of porous media
Y Meng, J Jiang, J Wu, D Wang - Advances in Water Resources, 2023 - Elsevier
The direct acquisition of the permeability of porous media by digital images helps to
enhance our understanding of and facilitate research into the problem of subsurface flow. A …
enhance our understanding of and facilitate research into the problem of subsurface flow. A …
Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization
Z Ma, Q Teng, P Yan, X Wu, X He - Acta Materialia, 2024 - Elsevier
Computational reconstruction methods play an important role in integrated computational
materials engineering, providing an efficient and inexpensive way for multi-modal and multi …
materials engineering, providing an efficient and inexpensive way for multi-modal and multi …
A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning
Z Ma, X He, P Yan, F Zhang, Q Teng - Computers and Geotechnics, 2023 - Elsevier
Microstructural analyses of porous media have considerable research value when studying
of macroscopic properties, and the accurate reconstruction of a digital microstructure model …
of macroscopic properties, and the accurate reconstruction of a digital microstructure model …
Deep learning method of stochastic reconstruction of three-dimensional digital cores from a two-dimensional image
Digital cores can characterize the true internal structure of rocks at the pore scale. This
method has become one of the most effective ways to quantitatively analyze the pore …
method has become one of the most effective ways to quantitatively analyze the pore …
End-to-end three-dimensional designing of complex disordered materials from limited data using machine learning
Precise 3D representation of complex materials, here the lithium-ion batteries, is a critical
step toward designing optimized energy storage systems. One requires obtaining several …
step toward designing optimized energy storage systems. One requires obtaining several …
Towards effective information content assessment: Analytical derivation of information loss in the reconstruction of random fields with model uncertainty
Structures are abundant in both natural and human-made environments and usually studied
in the form of images or scattering patterns. To characterize structures a huge variety of …
in the form of images or scattering patterns. To characterize structures a huge variety of …
Pore-scale simulations help in overcoming laboratory limitations with unconsolidated rock material: A multi-step reconstruction based on scanning electron and optical …
DA Kulygin, A Khlyupin, A Cherkasov… - Advances in Water …, 2024 - Elsevier
This article explores the possibility to assess the flow and transport properties of loosely
consolidated rock material-something that is very hard or impossible to achieve in the …
consolidated rock material-something that is very hard or impossible to achieve in the …
Boosting the reconstruction performance of 3D Multi-porous media using double generative adversarial networks
X Yin, M Gao, A Luo, G Xu - Advances in Water Resources, 2024 - Elsevier
With the continuous improvement of mathematical modeling technology, reconstructing the
three-dimensional structure of media from two-dimensional reference images has become …
three-dimensional structure of media from two-dimensional reference images has become …