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About the PDF in the Cloud

This is a cloud-based platform for pair distribution function (PDF) data analysis. PDF analysis is used to study the local atomic and magnetic structure of materials being developed and used in advanced applications such as high energy density batteries, solar fuel conversion, catalysis, electronics and many other high tech applications.

This web site should help chemists, physicists, earth scientists and anyone interested in material structure analyze their PDF data and obtain scientific insights from their data. New capabilities are being added frequently so please check back.

PDFitc is free to use for academic research. However, by using the PDFitc, you are agreeing to the PDF in the Cloud Terms of Use and Privacy Policy. If you use the PDFitc as a resource in your research, please cite the papers referencing PDFitc and its Applications summarized here.

The Billinge Group, Columbia University.


Simon J. L. Billinge

Professor, Department of Applied Physics and Applied Mathematics
Columbia University

Physicist, Brookhaven National Laboratory

Lead Developer

Long Yang

Assistant Professor, School of Materials Science and Engineering
Tongji University


Matthew G. Tucker

Diffraction Section Head, Neutron Scattering Division
Oak Ridge National Laboratory

Kirsten M. Ø. Jensen

Associate Professor, Department of Chemistry
University of Copenhagen

Partners and Support

This material is based upon work supported by the National Science Foundation under Grant DMREF-1534910.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.