%0 Journal Article %A Stefano Curtarolo %A Dane Morgan %A Kristin A Persson %A John Rodgers %A Gerbrand Ceder %B Physical Review Letters %D 2003 %G eng %T Predicting Crystal Structures with Data Mining of Quantum Calculations %V 91 %8 09/2003 %X

Predicting and characterizing the crystal structure of materials is a key problem in materials research and development. It is typically addressed with highly accurate quantum mechanical computations on a small set of candidate structures, or with empirical rules that have been extracted from a large amount of experimental information, but have limited predictive power. In this Letter, we transfer the concept of heuristic rule extraction to a large library of ab initio calculated information, and we demonstrate that this can be developed into a tool for crystal structure prediction.