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Open Chemistry, JupyterLab, REST, and quantum chemistry

  • Marcus D. Hanwell
  • , Chris Harris
  • , Alessandro Genova
  • , Mojtaba Haghighatlari
  • , Muammar El Khatib
  • , Patrick Avery
  • , Johannes Hachmann
  • , Wibe Albert de Jong
  • Kitware, Inc
  • Brookhaven National Laboratory
  • SUNY Buffalo
  • Lawrence Berkeley National Laboratory

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Quantum chemistry must evolve if it wants to fully leverage the benefits of the internet age, where the worldwide web offers a vast tapestry of tools that enable users to communicate and interact with complex data at the speed and convenience of a button press. The Open Chemistry project has developed an open-source framework that offers an end-to-end solution for producing, sharing, and visualizing quantum chemical data interactively on the web using an array of modern tools and approaches. These tools build on some of the best open-source community projects such as Jupyter for interactive online notebooks, coupled with 3D accelerated visualization, state-of-the-art computational chemistry codes including NWChem and Psi4, and emerging machine learning and data mining tools such as ChemML and ANI. They offer flexible formats to import and export data, along with approaches to compare computational and experimental data.

Original languageEnglish
Article numbere26472
JournalInternational Journal of Quantum Chemistry
Volume121
Issue number1
DOIs
StatePublished - Jan 5 2021

Keywords

  • automation
  • computational chemistry
  • open infrastructure
  • reproducibility
  • visualization

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