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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Shotaro Hiraide, Naruaki Fuse, Kohei Yamamoto, Hideki Tanaka, Kazuyuki Nakai, Satoshi Watanabe
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2025-12-01
Serie:	Carbon Trends
Ämnen:	Pore size distribution Bayesian estimation Surface roughness Kernel Molecular simulation Porous carbon
Länkar:	http://www.sciencedirect.com/science/article/pii/S2667056925001002
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!