Deep learning is expanding Wolfram Language's capabilities in computational chemistry. This session presents recent work on local protein folding and the modeling of interatomic potentials. These advances bring new levels of accuracy and realism to molecular modeling while keeping the entire workflow seamlessly integrated into Wolfram Language.

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