Design of Organic Electronic Materials With a Goal-Directed Generative Model Powered by Deep Neural Networks and High-Throughput Molecular Simulations
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DOI: 10.3389/fchem.2021.800370
Abstract: In recent years, generative machine learning approaches have attracted significant attention as an enabling approach for designing novel molecular materials with minimal design bias and thereby realizing more directed design for a specific materials property… read more here.
Keywords: goal directed; electronic materials; design; directed generative ... See more keywords