BibTex format
@article{Xia:2023:10.1039/d3cp00402c,
author = {Xia, Z and Ma, K and Cheng, S and Blackburn, T and Peng, Z and Zhu, K and Zhang, W and Xiao, D and Knowles, AJ and Arcucci, R},
doi = {10.1039/d3cp00402c},
journal = {PHYSICAL CHEMISTRY CHEMICAL PHYSICS},
pages = {15970--15987},
title = {Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys},
url = {http://dx.doi.org/10.1039/d3cp00402c},
volume = {25},
year = {2023}
}
RIS format (EndNote, RefMan)
TY - JOUR
AU - Xia,Z
AU - Ma,K
AU - Cheng,S
AU - Blackburn,T
AU - Peng,Z
AU - Zhu,K
AU - Zhang,W
AU - Xiao,D
AU - Knowles,AJ
AU - Arcucci,R
DO - 10.1039/d3cp00402c
EP - 15987
PY - 2023///
SN - 1463-9076
SP - 15970
TI - Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys
T2 - PHYSICAL CHEMISTRY CHEMICAL PHYSICS
UR - http://dx.doi.org/10.1039/d3cp00402c
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000999614200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 25
ER -