1 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.supr-con2022★ 1 cited
Prediction of superconducting properties of materials based on machine learning models
Jie Hu, Yongquan Jiang, Yang Yan +1
The application of superconducting materials is becoming more and more widespread. Traditionally, the discovery of new superconducting materials relies on the experience of experts…
cond-mat.mtrl-sci2022
Hardness prediction of age-hardening aluminum alloy based on ensemble learning
Houchen Zuo, Yongquan Jiang, Yan Yang +2
With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum a…
cond-mat.mtrl-sci2021★ 1 cited
Prediction of properties of metal alloy materials based on machine learning
Houchen Zuo, Yongquan Jiang, Yan Yang +1
Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate,…