Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang · 2026
Read Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys by Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13336456.txt.
Description
Jie Yin and co-authors built a graph neural network that designs copper alloys together with their processing routes in a 2026 materials informatics study. Alloy performance depends on heat treatment and working history, but conventional models demand fixed inputs and cannot digest variable process chains.
Their heterogeneous graph treats elements and process steps as nodes joined by learnable edges, swallowing variable-length pathways without hand-crafted features or sparse-data blowups. Native elemental properties feed the model directly. Applied to design, the framework proposed a new copper alloy carrying chromium, zirconium, yttrium, lanthanum, magnesium, and zinc, with a tailored process. Experiments confirmed yield strength of 710 megapascals and tensile strength of 726 megapascals in the validated samples, alongside further properties. Unifying recipe and route in one model points AI design at how metals are actually made.
Catalog record
| CREATOR | Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58971 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |