Resolving experimental biases in the interpretation of diffusion experiments with a user-friendly numerical reactive transport approach
Abstract The reactive transport code CrunchClay was used to derive effective diffusion coefficients (D e ), clay porosities (ε), and adsorption distribution coefficients (K D ) from through-diffusion data while considering accurately the influence of unavoidable experimental biases on the estimation...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-09-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-42260-5 |