# Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-models-for-predicting-gas-adsorption-capacity-of-nanomaterials/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wenjing Guo,Jie Liu,Fan Dong,Ru Chen,Jayanti Das,Weigong Ge,Xiaoming Xu,Huixiao Hong |
| Citations | 45 |
| DOI | 10.3390/nano12193376 |
| Fields | Chemistry,Engineering,Materials Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-4991/12/19/3376/pdf?version=1664280935 |
| OpenAlex ID | https://openalex.org/W4297547217 |
| PMID | 36234502 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jayanti Das](https://scholariq.org/researchers/jayanti-das/)

## Paper journal

- [Nanomaterials](https://scholariq.org/journals/nanomaterials/)

## Paper primary topic

- [Metal-Organic Frameworks: Synthesis and Applications](https://scholariq.org/topics/metal-organic-frameworks-synthesis-and-applications/)

## Paper topics

- [Metal-Organic Frameworks: Synthesis and Applications](https://scholariq.org/topics/metal-organic-frameworks-synthesis-and-applications/)
- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [Phase Equilibria and Thermodynamics](https://scholariq.org/topics/phase-equilibria-and-thermodynamics/)

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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.