Machine Learning and Data-Driven Approaches for Chemical Compound Synthesis Abstract
The field of chemical compound synthesis has traditionally relied on empirical methods and expert knowledge. However, the rapid advancement of machine learning (ML) and data-driven approaches has begun to transform how chemical compounds are synthesized. This article explores the integration of these technologies into chemical synthesis, highlighting key methodologies,...
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