Real Instances Dataset for Materials Discovery
Modified 10/28/2014

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Copyright 2014 Institute for Computational Sustainability

This Real Instances Dataset for Materials Discovery is made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0/.


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You are free:

    To Share: To copy, distribute and use the database.
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    Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.

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This is not a license. It is simply a handy reference for understanding the ODC-BY 1.0 — it is a human-readable expression of some of its key terms. This document has no legal value, and its contents do not appear in the actual license. Read the full ODC-BY 1.0 license text for the exact terms that apply.

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== MAIN CONTRIBUTORS ==  

Ronan Le Bras (Cornell University Dept. of Computer Science) lebras@cs.cornell.edu
Richard Bernstein (Cornell University Dept. of Computer Science) rab38@cornell.edu
John M. Gregoire (Caltech JCAP Energy Innovation Hub) gregoire@caltech.edu


== CITATION ==

This dataset accompanies the following publication:

Le Bras, R., Bernstein, R., Gregoire, J. M., Suram, S. K., Gomes, C. P., Selman, B., & van Dover, R. B. (2014). 
    A Computational Challenge Problem in Materials Discovery: Synthetic Problem Generator and Real-World Datasets. 
    In Twenty-Eighth International Conference on Artificial Intelligence (AAAI'14).
    
Please cite this or related works as appropriate in follow-up publications.
