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PermXCT: A novel framework for imaging-based virtual permeability prediction | Synapse
March 3, 2026
Open Access
PermXCT: A novel framework for imaging-based virtual permeability prediction
DA
Debabrata Adhikari
JL
Jesper John Lisegaard
JH
Jesper Henri Hattel
Technical University of Denmark
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Key Points
Virtual permeability is effectively predicted using the PermXCT framework, transforming imaging data into actionable insights.
The key evidence shows improved accuracy in permeability assessments, enhancing modeling techniques for materials.
Analysis includes imaging-based data processing to predict permeability, showcasing a new approach in material science.
This novel framework may enable better understanding of material behaviors in various applications and settings.
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Adhikari et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75c0fc6e9836116a24770
https://doi.org/https://doi.org/10.1016/j.softx.2026.102529