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The traditional performance evaluation of metal materials depends on trial and error, which is expensive and time-consuming. Machine learning algorithm, especially deep learning, has brought ...
Here, we propose a machine learning framework that deciphers the nonlinear relationships between synthetic parameters and electrical conductivity in 2D OMCs, enabling quantitative predictions for ...