# Machine learning accelerates discovery of high-temperature alloys

**URL:** <https://community.materialssquare.com/t/machine-learning-accelerates-discovery-of-high-temperature-alloys/699>\
**Category:** News\
**Created:** [September 30, 2024, 2:26pm UTC](https://community.materialssquare.com/t/machine-learning-accelerates-discovery-of-high-temperature-alloys/699 "2024-09-30T14:26:14Z")\
**Posts on this page:** 1\
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**Author:** ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)\
**Post date:** [September 30, 2024, 2:26pm UTC](https://community.materialssquare.com/t/machine-learning-accelerates-discovery-of-high-temperature-alloys/699/1 "2024-09-30T14:26:14Z")

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The article “Machine Learning Accelerates Discovery of High-Temperature Alloys” describes a new approach by scientists from several institutions, including the University of Science and Technology Beijing, to discover high-temperature refractory high-entropy alloys (RHEAs). The researchers used machine learning, genetic search, cluster analysis, and experimental methods to identify optimal alloy compositions, culminating in a ZrNbMoHfTa alloy with exceptional properties. The study highlights the use of multi-objective optimization to balance strength, ductility, and other properties, marking a significant advancement in materials science. The findings set a new standard for high-temperature alloys, paving the way for future innovation in aerospace, nuclear reactors, and other applications.

Please continue reading the full article under the link below:

> **[Machine learning accelerates discovery of high-temperature alloys](https://phys.org/news/2024-09-machine-discovery-high-temperature-alloys.html)**
>
> In a study recently published in Engineering, scientists from the University of Science and Technology Beijing, Guangdong Ocean University, and AiMaterials Research LLC have demonstrated a novel method to accelerate the discovery of refractory...