Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yongrui Su"'
Autor:
Yongrui Su, Ling Zhao
Publikováno v:
China Communications. 18:233-252
The application of information and communications technology(ICT) in the education industry is becoming more and more extensive, and online education realized through ICT is developing in full swing. The influence of ICT on online education consumer'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce835085276b8f8860cb48bc084167d
https://doi.org/10.23919/jcc.2021.10.017
https://doi.org/10.23919/jcc.2021.10.017
Autor:
Dan C. Wilkinson, Jin Wang, C. Jeffrey Brinker, Juan J. de Pablo, Zhang Jiang, Joseph Strzalka, Shisheng Xiong, Yongrui Su, Darren R. Dunphy
Publikováno v:
Nano Letters. 13:1041-1046
The pathway of interfacial self-assembly of large-scale, highly ordered 2D nanoparticle/polymer monolayer or bilayer arrays from a toluene solution at an air/water interface was investigated using grazing-incidence small-angle scattering at a synchro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::796b3acded70c6305644cba4daf9af89
https://doi.org/10.1021/nl304253y
https://doi.org/10.1021/nl304253y
Publikováno v:
Energies, Vol 17, Iss 3, p 698 (2024)
A large proportion of photovoltaic (PV) power generation is connected to the power grid, and its volatility and stochasticity have significant impacts on the power system. Accurate PV power forecasting is of great significance in optimizing the safe
Externí odkaz:
https://doaj.org/article/decd6314f6b24a489bedbc5664b268fa
Autor:
Jian Qin, Marc Z. Miskin, Juan J. de Pablo, Yongrui Su, Grant P. Garner, Gurdaman Khaira, Heinrich M. Jaeger
Publikováno v:
Soft Matter. 9:11467
Directed assembly of block polymers is rapidly becoming a viable strategy for lithographic patterning of nanoscopic features. One of the key attributes of directed assembly is that an underlying chemical or topographic substrate pattern used to direc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e1c7281b323b307609e9f318ce2493
https://doi.org/10.1039/c3sm51971f
https://doi.org/10.1039/c3sm51971f
Publikováno v:
Royal Society Open Science, Vol 5, Iss 8 (2018)
In this work, two kinds of partial least squares modelling methods are applied to predict a compressor map: one uses a power function polynomial as the basis function (PLSO), and the other uses a trigonometric function polynomial (PLSN). To demonstra
Externí odkaz:
https://doaj.org/article/46685fd27a0c43eb942931caf121dce3