Doosun Hong

Uncertainty-Informed Training Set Construction for Robust Extrapolation in Materials Property Prediction

Machine learning models such as Crystal graph convolutional neural networks (CGCNN) have been widely adopted for the rapid and accurate prediction of crystalline material properties. However, these models suffer from a critical limitation: prediction errors increase sharply during extrapolation to out-of-distribution s...