Accelerating materials discovery using integrated deep machine learning approaches
Journal of materials chemistry. A, Materials for energy and sustainability（2023）
Abstract
Our work introduces an innovative deep machine learning framework to significantly accelerate novel materials discovery, as demonstrated by its application to the La–Si–P system where new ternary and quaternary compounds were successfully identified.
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Key words
materials discovery,deep machine,learning
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