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DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Materials property prediction remains difficult in low-data settings, where many target properties are supported by only a limited number of labeled samples. Models with the strongest predictive accuracy often depend on crystal structures, which restricts their use in early-stage screening when stru
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