Pre-trained vision transformers can extract microstructure features that support competitive machine-learning predictions of elastic modulus and Vickers hardness without fine-tuning.
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Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers
Pre-trained vision transformers can extract microstructure features that support competitive machine-learning predictions of elastic modulus and Vickers hardness without fine-tuning.