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.
- Chonghang Zhao
- Cheng-Chu Chung
- Yu-chen Karen Chen-Wiegart