Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chaofeng Lv"'
Publikováno v:
Ceramics International. 49:8554-8564
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::214d02ee756e80cf30f01612d67c922c
https://doi.org/10.1016/j.ceramint.2022.11.018
https://doi.org/10.1016/j.ceramint.2022.11.018
Publikováno v:
Journal of the European Ceramic Society. 41:7450-7463
To improve the ablation performance of C/C composites, HfC/PyC core-shell structure nanowire (HfCnw/PyC)-reinforced Hf1-xZrxC coating was prepared via three-step chemical vapor deposition (CVD) method. Effects of HfCnw/PyC and PyC layer thickness on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181bc7cab823d2a52bb8ca76d5d0446e
https://doi.org/10.1016/j.jeurceramsoc.2021.08.036
https://doi.org/10.1016/j.jeurceramsoc.2021.08.036
Publikováno v:
Ceramics International. 47:7853-7863
To elevate the mechanical and anti-ablation properties of Hf1-xZrxC coating on C/C composites, HfC/PyC core-shell structure nanowires (HfCnw/PyC) with different PyC layer thickness were synthesized by two steps of CVD. Influences of HfCnw/PyC on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6bf3381b2e0cc0add940ad2e0f7c9d
https://doi.org/10.1016/j.ceramint.2020.11.132
https://doi.org/10.1016/j.ceramint.2020.11.132
Publikováno v:
Neurocomputing. 397:438-446
The ever increasing proportion of photovoltaic (PV), which is, in effect, a random and intermittent energy source, makes PV power forecasting increasingly important for power grid stability. Artificial neural networks (ANN) have become one of the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724adff5883f6adcd0928da96a53b14a
https://doi.org/10.1016/j.neucom.2019.08.105
https://doi.org/10.1016/j.neucom.2019.08.105
Publikováno v:
IJCNN
Due to the strong intermittency and volatility and the increasing proportion of photovoltaic (PV) power in the power grid, the PV power prediction becomes more and more important for the reliability of the power grid. Neural network is a popular mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7670ae4dd99f07db4d3e9c3fc8e5e74a
https://doi.org/10.1109/ijcnn.2018.8489766
https://doi.org/10.1109/ijcnn.2018.8489766