Showing results 1 to 3 of 3
| Title | Author(s) | Issue Date | |
|---|---|---|---|
| 2022 | |||
Graph neural network for predicting the effective properties of polycrystalline materials: A comprehensive analysis Journal:Computational Materials Science | 2023 | ||
Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials Journal:npj Computational Materials | 2021 |