Reproducible quantum chemistry in JupyterLab - Chris Harris (Kitware)

724 views · Published 10 October 2018 · 33:47 · Indexed 6 November 2026

Channel: O'Reilly · 2018 · Science & Technology

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In silico prediction of chemical properties has seen vast improvements in both veracity and volume of data but is currently hamstrung by a lack of transparent, reproducible workflows coupled with environments for visualization and analysis. Chris Harris offers an overview of a platform that uses Jupyter notebooks to enable an end-to-end workflow from simulation setup to visualizing the results.

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