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Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets - npj Computational Materials
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Modern data mining methods have demonstrated effectiveness in comprehending and predicting materials properties. An essential component in the process of materials discovery is to know which material(s) will possess desirable properties. For many materials properties, performing experiments and density functional theory computations are costly and time-consuming.
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