Towards overcoming data scarcity in materials science: unifying models and datasets with a mixture of experts framework

Rees Chang, Yu-Xiong Wang, Elif Ertekin

While machine learning has emerged in recent years as a useful tool for rapid prediction of materials properties, generating sufficient data to reliably train models without overfi…