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{Wu:2021:10.1016/j.jocs.2021.101323,
author = {Wu, P and Chang, X and Yuan, W and Sun, J and Zhang, W and Arcucci, R and Guo, Y},
doi = {10.1016/j.jocs.2021.101323},
journal = {JOURNAL OF COMPUTATIONAL SCIENCE},
title = {Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state},
url = {http://dx.doi.org/10.1016/j.jocs.2021.101323},
volume = {51},
year = {2021}
}
TY - JOUR
AU - Wu,P
AU - Chang,X
AU - Yuan,W
AU - Sun,J
AU - Zhang,W
AU - Arcucci,R
AU - Guo,Y
DO - 10.1016/j.jocs.2021.101323
PY - 2021///
SN - 1877-7503
TI - Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state
T2 - JOURNAL OF COMPUTATIONAL SCIENCE
UR - http://dx.doi.org/10.1016/j.jocs.2021.101323
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000647164800009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 51
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
Email us.
Sign up to our mailing list.
Follow us on Twitter, LinkedIn and Instagram.
