[图书][B] Tortuosity and microstructure effects in porous media: classical theories, empirical data and modern methods

L Holzer, P Marmet, M Fingerle, A Wiegmann… - 2023 - library.oapen.org
This open access book presents a thorough look at tortuosity and microstructure effects in
porous materials. The book delivers a comprehensive review of the subject, summarizing all …

Data-driven methods for flow and transport in porous media: a review

G Yang, R Xu, Y Tian, S Guo, J Wu, X Chu - International Journal of Heat …, 2024 - Elsevier
This review focuses on recent advancements in data-driven methods for analyzing flow and
transport in porous media, which are showing promising potential for applications in energy …

A dataset of 3D structural and simulated transport properties of complex porous media

JE Santos, B Chang, A Gigliotti, Y Yin, W Song… - Scientific Data, 2022 - nature.com
Physical processes that occur within porous materials have wide-ranging applications
including-but not limited to-carbon sequestration, battery technology, membranes, oil and …

Quantifying the impact of 3D pore space morphology on soil gas diffusion in loam and sand

B Prifling, M Weber, N Ray, A Prechtel… - Transport in Porous …, 2023 - Springer
Effective diffusion is an important macroscopic property for assessing transport in porous
media. Numerical computations on segmented 3D CT images yield precise estimates for …

Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS

S Gärttner, FO Alpak, A Meier, N Ray… - Computational …, 2023 - Springer
In recent years, convolutional neural networks (CNNs) have experienced an increasing
interest in their ability to perform a fast approximation of effective hydrodynamic parameters …

Inverse design of anisotropic spinodoid materials with prescribed diffusivity

M Röding, V Wåhlstrand Skärström, N Lorén - Scientific Reports, 2022 - nature.com
The three-dimensional microstructure of functional materials determines its effective
properties, like the mass transport properties of a porous material. Hence, it is desirable to …

Machine learning-accelerated small-angle X-ray scattering analysis of disordered two-and three-phase materials

M Röding, P Tomaszewski, S Yu, M Borg… - Frontiers in …, 2022 - frontiersin.org
Small-angle X-ray scattering (SAXS) is a useful technique for nanoscale structural
characterization of materials. In SAXS, structural and spatial information is indirectly …

[HTML][HTML] A data-driven modeling approach to quantify morphology effects on transport properties in nanostructured NMC particles

M Neumann, SE Wetterauer, M Osenberg… - International Journal of …, 2023 - Elsevier
We present a data-driven modeling approach to quantify morphology effects on transport
properties in nanostructured materials. Our approach is based on the combination of …

[HTML][HTML] Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology

O Furat, DP Finegan, Z Yang, M Neumann, S Kim… - Energy Storage …, 2024 - Elsevier
There are numerous factors that can have an impact on the degradation behavior of
batteries, such as the number of recharge cycles or the charge rate. Here, we investigate the …

[HTML][HTML] Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

BD Nguyen, P Potapenko, A Demirci, K Govind… - Machine Learning with …, 2024 - Elsevier
Determining, understanding, and predicting the so-called structure–property relation is an
important task in many scientific disciplines, such as chemistry, biology, meteorology …