@article{42f462f5e09d454a85ce73fbe0b86cb8,
title = "Special Issue: Big data and predictive computational modeling",
keywords = "Big data, Machine learning, Predictive modeling, Scientific computing, Uncertainty quantification",
author = "Koutsourelakis, {P. S.} and N. Zabaras and M. Girolami",
note = "Funding Information: This material is based upon work supported by the Air Force Office of Scientific Research, Air Force Material Command, USAF under Award No. FA9550-15-1-0185 . The organizers would also like to express their gratitute to the Institute of Advanced Study (IAS) and the Department of Mechanical Engineering at the Technical University of Munich (TUM) for their generous support. N.Z. acknowledges support from the EPSRC (Grant No. EP/L027682/1 ), the Royal Society through a Wolfson Research Merit Award and the Technical University of Munich, Institute for Advanced Study for support through a Hans Fisher Senior Fellowship, funded by the German Excellence Initiative and the European Union Seventh Framework Programme under Grant Agreement No. 291763 . Funding Information: This material is based upon work supported by the Air Force Office of Scientific Research, Air Force Material Command, USAF under Award No. FA9550-15-1-0185. The organizers would also like to express their gratitute to the Institute of Advanced Study (IAS) and the Department of Mechanical Engineering at the Technical University of Munich (TUM) for their generous support. N.Z. acknowledges support from the EPSRC (Grant No. EP/L027682/1), the Royal Society through a Wolfson Research Merit Award and the Technical University of Munich, Institute for Advanced Study for support through a Hans Fisher Senior Fellowship, funded by the German Excellence Initiative and the European Union Seventh Framework Programme under Grant Agreement No. 291763.",
year = "2016",
month = sep,
day = "15",
doi = "10.1016/j.jcp.2016.03.028",
language = "English",
volume = "321",
pages = "1252--1254",
journal = "Journal of Computational Physics",
issn = "0021-9991",
publisher = "Academic Press Inc.",
}