# Prediction of superconducting transition temperature using a machine-learning method

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-superconducting-transition-temperature-using-a-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yuan-Peng LIU,H. Zhang,Yuge Xu,Shengzhou Li,Dawei Dai,C. Li,Guosheng Ding,Wei Shen,Quan Qian |
| Citations | 10 |
| DOI | 10.17222/mit.2018.043 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.17222/mit.2018.043 |
| OpenAlex ID | https://openalex.org/W2897896990 |
| Type | article |
| Year | 2018 |

## Paper authors

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

## Paper journal

- [Materiali in tehnologije](https://scholariq.org/journals/materiali-in-tehnologije/)

## Paper primary topic

- [Superconducting Materials and Applications](https://scholariq.org/topics/superconducting-materials-and-applications/)

## Paper topics

- [Superconducting Materials and Applications](https://scholariq.org/topics/superconducting-materials-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.