Deep Learning in Chemistry
Machine learning enables computers to address problems by learning from data. Deep learning is a type of machine learning that uses a hierarchical recombination of features to extract pertinent information and then learn the patterns represented in the data. Over the last eight years, its abilities have increasingly been applied to a wide variety of chemical challenges, from improving computational chemistry to drug and materials design and even synthesis planning. This review aims to explain...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Chemical Information and Modeling|
|Access Rights:||Open Access|
|Deep Learning Manuscript.pdf||Author Accepted Manuscript||2.32 MB||Adobe PDF|
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