In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Casas:2020:10.1016/j.physd.2020.132615,
author = {Casas, CQ and Arcucci, R and Wu, P and Pain, C and Guo, Y-K},
doi = {10.1016/j.physd.2020.132615},
journal = {PHYSICA D-NONLINEAR PHENOMENA},
title = {A Reduced Order Deep Data Assimilation model},
url = {http://dx.doi.org/10.1016/j.physd.2020.132615},
volume = {412},
year = {2020}
}
TY - JOUR
AU - Casas,CQ
AU - Arcucci,R
AU - Wu,P
AU - Pain,C
AU - Guo,Y-K
DO - 10.1016/j.physd.2020.132615
PY - 2020///
SN - 0167-2789
TI - A Reduced Order Deep Data Assimilation model
T2 - PHYSICA D-NONLINEAR PHENOMENA
UR - http://dx.doi.org/10.1016/j.physd.2020.132615
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000564668400007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 412
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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