Al-Driven Alloy Design

Overview

The application of Artificial Intelligence (AI) in alloy design is revolutionizing material development, particularly for high-performance aluminum alloys. Through data-driven approaches, AI can identify and optimize alloy compositions, processing parameters, and microstructure-property relationships. Explainable AI was used to design high-strength aluminum alloys by predicting and enhancing age-hardening behavior, offering insights into the alloying elements and their impact on mechanical properties. By leveraging AI, these approaches enable more efficient alloy design, reduce experimental costs, and promote the development of sustainable, high-performance materials.

Representative Publications and Presentations

- High Strength Aluminum Alloys Design via Explainable Artificial Intelligence.
Seobin Park†, Saif Haider Kayani†, Kwangjun Euh, Eunhyeok Seo, Hayeol Kim, Sangeun Park, Bishnu Nand Yadav, Seong Jin Park, Hyokyung Sung, Im Doo Jung
Journal of Alloys and Compounds 903 (2022) 163828.
DOI

- Data-driven design of Al–Fe alloys for laser powder bed fusion to enhance recycled aluminum utilization.
Abdul Wahid Shah, Jabir Ali Siddique, Umar Daraz, Saif Haider Kayani, Javed Hussain, Ghulam Mudassir, Kang Wang, Wenfeng Li
Journal of Alloys and Compounds 1039 (2025) 183278.
DOI