Machine-learning for designing nanoarchitectured materials by dealloying
oleh: Chonghang Zhao, Cheng-Chu Chung, Siying Jiang, Marcus M. Noack, Jiun-Han Chen, Kedar Manandhar, Joshua Lynch, Hui Zhong, Wei Zhu, Phillip Maffettone, Daniel Olds, Masafumi Fukuto, Ichiro Takeuchi, Sanjit Ghose, Thomas Caswell, Kevin G. Yager, Yu-chen Karen Chen-Wiegart
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-11-01 |
Deskripsi
Nanoporous metals produced by metal agent dealloying are attractive for multiple applications. Here, a machine learning-augmented framework is reported for predicting, synthesizing and characterizing ternary systems for dealloying.