Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions
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Machine learning has advanced the rapid prediction of inorganic materials properties, yet data scarcity for specific properties and capturing thermodynamic stability remains challenging. We propose a framework utilizing a Graph Neural Network with composition-... ...
