Mechanism-driven interpretable modeling of hydrogen solubility in organic compounds <i>via</i> a hierarchical transformer

This study presents HiRegFormer, a hybrid model that accurately predicts hydrogen solubility by integrating molecular and thermodynamic features. Coupled with SHAP analysis, it offers interpretable insights for hydrogen storage material design.

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-12-08
DOI
https://doi.org/10.1039/d5ta05515f
Primary Topic
Crystallography and molecular interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Mechanism-driven interpretable modeling of hydrogen solubility in organic compounds via a hierarchical transformer

Journal of Materials Chemistry A
Crystallography and molecular interactions
article

Mechanism-driven interpretable modeling of hydrogen solubility in organic compounds via a hierarchical transformer

article en

Abstract

This study presents HiRegFormer, a hybrid model that accurately predicts hydrogen solubility by integrating molecular and thermodynamic features. Coupled with SHAP analysis, it offers interpretable insights for hydrogen storage material design.

Journal of Materials Chemistry AVol. 14(5)
China University of Petroleum, East China (CN)
Openalex Percentile: Top 38%
Crystallography and molecular interactions
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Mechanism-driven interpretable modeling of hydrogen solubility in organic compounds <i>via</i> a hierarchical transformer · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS