Zhao, S., Jiang, B., Song, K., Liu, X., Wang, W., Si, D., Zhang, J., Chen, X., Zhou, C., Liu, P., Chen, D., Zhang, Z., Ramasamy, P., Tang, J., Lv, W., Prashanth, K. G., Sopu, D., Eckert, J.

Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density

author

Zhao, Shunli

Jiang, Bin

Song, Kaikai

Liu, Xiaoming

Wang, Wenyu

Si, Dekun

Zhang, Jilei

Chen, Xiangyan

Zhou, Changshan

Liu, Pingping

Chen, Dong

Zhang, Zequn

Ramasamy, Parthiban

Tang, Junlei

Lv, Wenquan

Prashanth, Konda Gokuldoss

Sopu, Daniel

Eckert, Jurgen

statement of authorship

Shunli Zhao, Bin Jiang, Kaikai Song, Xiaoming Liu, Wenyu Wang, Dekun Si, Jilei Zhang, Xiangyan Chen, Changshan Zhou, Pingping Liu, Dong Chen, Zequn Zhang, Parthiban Ramasamy, Junlei Tang, Wenquan Lv, Konda Gokuldoss Prashanth, Daniel Şopu, Jürgen Eckert

source

Materials & design

publisher

Elsevier

journal volume number month

vol. 238F

year of publication

2024

pages

art. 112634

url

https://doi.org/10.1016/j.matdes.2024.112634

subject term

sulamid

lasertöötlus

mikrostruktuur

tehisõpe

keyword

eXtreme gradient boosting

high-entropy alloys

machine learning (ML)

microhardness

microstructures

ISSN

0264-1275

notes

Bibliogr.: 78 ref

Open Access

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

scopus

TTÜ department

mehaanika ja tööstustehnika instituut

language

inglise

Zhao, S., Jiang, B., Song, K., Liu, X., Wang, W., Si, D., Zhang, J., Chen, X., Zhou, C., Liu, P., Chen, D., Zhang, Z., Ramasamy, P., Tang, J., Lv, W., Prashanth, K. G., Sopu, D., Eckert, J. Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density // Materials & design (2024) vol. 238F, art. 112634. https://doi.org/10.1016/j.matdes.2024.112634