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Data-driven solution-based synthesis design for inorganic materials
The development of a materials synthesis route is usually based on heuristics and experience. This thesis proposes to apply data-driven approaches to learn the patterns of synthesis from past experience and use them to predict the syntheses of novel materials. However, this route is impeded by the l
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