ICDD is a non-profit scientific organization dedicated to collecting, editing, publishing, and distributing powder diffraction data for the identification of crystalline materials. Our mission is to continue to be the world center for quality diffraction and related data to meet the needs of the technical community. We promote the application of materials characterization methods in science and technology by providing forums for the exchange of ideas and information. We sponsor the Pharmaceutical Powder X-ray Diffraction Symposium (PPXRD), Denver X-ray Conference; its proceedings, Advances in X-ray Analysis and the journal, Powder Diffraction. ICDD and its members conduct workshops and clinics on materials characterization at our headquarters in Newtown Square, Pennsylvania, and at X-ray analysis conferences around the world.
PDF-4+ is our most advanced database, providing comprehensive material coverage for inorganic materials. It includes atomic coordinates and embedded structure factors as well as full digital patterns to enable both phase identification and quantitative analysis. PDF-4 products also include experimental digital patterns of noncrystalline materials, such as most clays and industrially important polymers. In addition, PDF-4+ offers a suite of electron diffraction tools including electron diffraction powder pattern simulations, an interactive spot pattern simulation, and an electron diffraction backscatter pattern simulation module.
International Centre for Diffraction Data
12 Campus Boulevard
Newtown Square, PA 19073
TELEPHONE
Toll Free US: (866) 378.9331
FAX
(610) 325-9823
E-MAILinfo@icdd.com
WEB SITEwww.icdd.com
YEAR FOUNDED
1941
Pittcon 2025: Christian Huck Discusses Near-Infrared Spectroscopy in Food Analysis
March 6th 2025At Pittcon, Spectroscopy sat down with Christian Huck of the University of Innsbruck to talk about how NIR and imaging spectroscopy are being used in food and bioanalysis, and where this industry is heading in the future.
Advanced Optical Fiber Sensor Enhances Wind Turbine Vibration Monitoring
March 5th 2025Researchers have developed a high-sensitivity optical fiber vibration sensor based on Fabry-Perot (F-P) interference, designed to improve wind turbine tower monitoring. This innovation addresses issues with traditional electrical sensors and has strong potential for integration into the Internet of Things (IoT) for real-time structural health monitoring.