# Imputation of missing gas permeability data for polymer membranes using machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/imputation-of-missing-gas-permeability-data-for-polymer-membranes-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qi Yuan,Mariagiulia Longo,Aaron W. Thornton,Neil B. McKeown,Bibiana Comesaña‐Gándara,Johannes C. Jansen,Kim E. Jelfs |
| Citations | 93 |
| DOI | 10.1016/j.memsci.2021.119207 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0376738821001575/pdf |
| OpenAlex ID | https://openalex.org/W3130740671 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Qi Yuan](https://scholariq.org/researchers/qi-yuan-2/)

## Paper primary topic

- [Membrane Separation and Gas Transport](https://scholariq.org/topics/membrane-separation-and-gas-transport/)

## Paper topics

- [Membrane Separation and Gas Transport](https://scholariq.org/topics/membrane-separation-and-gas-transport/)
- [Membrane Separation Technologies](https://scholariq.org/topics/membrane-separation-technologies/)
- [Fuel Cells and Related Materials](https://scholariq.org/topics/fuel-cells-and-related-materials/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.