Application of multi-task learning in analysing the methane working capacity of metal–organic frameworks

Journal of Materials Chemistry A 2026 Open access

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Authors: Junhui Kou, Tianle Liu, Guosheng Jiang, Guokun Yang, Zerang Li, Xiaoyang Ni, Hao Liu
DOI: 10.1039/d5ta10538b
Cited by: 1
References: 71

Abstract

The interpretable multi-task learning framework predicts methane adsorption and working capacity under multiple pressure conditions, revealing pressure-dependent structure–performance mechanisms in metal–organic frameworks.

Fields of Study & Subjects

Metal-Organic Frameworks: Synthesis and Applications Carbon Dioxide Capture Technologies Catalysts for Methane Reforming

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
24
Pages
15018–15033
Publication date
1 January 2026
Language
EN