Bayesian estimation of pore size distribution in porous carbon using a novel GCMC-based kernel incorporating surface roughness
Porous carbons play vital roles in adsorption-based applications, and their pore size distributions (PSDs) are crucial for performance. Kernel-based inversion of adsorption isotherms is the standard route to obtain PSDs, yet it still faces technical limitations. In this study, we address these issue...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Carbon Trends |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667056925001002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!