# An end-to-end machine learning framework exploring phase formation for high entropy alloys

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-end-to-end-machine-learning-framework-exploring-phase-formation-for-high/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Huiran Zhang,Rui Hu,Xi Liu,Shengzhou Li,Guang-jie ZHANG,Quan Qian,Guangtai Ding,Dongbo Dai |
| Citations | 12 |
| DOI | 10.1016/s1003-6326(23)66247-8 |
| Fields | Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/s1003-6326(23)66247-8 |
| OpenAlex ID | https://openalex.org/W4384944784 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Shengzhou Li](https://scholariq.org/researchers/shengzhou-li/)

## Paper primary topic

- [High Entropy Alloys Studies](https://scholariq.org/topics/high-entropy-alloys-studies/)

## Paper topics

- [High Entropy Alloys Studies](https://scholariq.org/topics/high-entropy-alloys-studies/)
- [High-Temperature Coating Behaviors](https://scholariq.org/topics/high-temperature-coating-behaviors/)
- [Additive Manufacturing Materials and Processes](https://scholariq.org/topics/additive-manufacturing-materials-and-processes/)

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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.