Citation

BibTex format

@article{Gong:2022:10.1016/j.anucene.2022.109431,
author = {Gong, H and Cheng, S and Chen, Z and Li, Q and Quilodran-Casas, C and Xiao, D and Arcucci, R},
doi = {10.1016/j.anucene.2022.109431},
journal = {ANNALS OF NUCLEAR ENERGY},
title = {An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics},
url = {http://dx.doi.org/10.1016/j.anucene.2022.109431},
volume = {179},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Gong,H
AU  - Cheng,S
AU  - Chen,Z
AU  - Li,Q
AU  - Quilodran-Casas,C
AU  - Xiao,D
AU  - Arcucci,R
DO  - 10.1016/j.anucene.2022.109431
PY  - 2022///
SN  - 0306-4549
TI  - An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics
T2  - ANNALS OF NUCLEAR ENERGY
UR  - http://dx.doi.org/10.1016/j.anucene.2022.109431
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000861581100006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 179
ER  -
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