# Inverse Design of Materials by Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/inverse-design-of-materials-by-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wang Jia,Yingxue Wang,Yanan Chen |
| Citations | 119 |
| DOI | 10.3390/ma15051811 |
| Fields | Engineering,Materials Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1996-1944/15/5/1811/pdf?version=1646047514 |
| OpenAlex ID | https://openalex.org/W4214653918 |
| PMID | 35269043 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yingxue Wang](https://scholariq.org/researchers/yingxue-wang/)

## Paper journal

- [Materials](https://scholariq.org/journals/materials/)

## Paper primary topic

- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)

## Paper topics

- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [Thermal properties of materials](https://scholariq.org/topics/thermal-properties-of-materials/)
- [Nanowire Synthesis and Applications](https://scholariq.org/topics/nanowire-synthesis-and-applications/)

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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.