Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Aijuan Dong"'
Publikováno v:
Nanomaterials, Vol 12, Iss 23, p 4203 (2022)
The adsorption mechanism of CO and CH4 on GeSe, modified with the most stable 1–4 Ag-atom clusters, is studied with the help of density functional theory. Adsorption distance, adsorption energy, total density of states (TDOS), projected density of
Externí odkaz:
https://doaj.org/article/0c5c791e5e8141648a848ec0e4c37d57
Publikováno v:
Bulletin of Materials Science. 46
Autor:
Jaken Whipp, Aijuan Dong
Publikováno v:
2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM).
Autor:
Aijuan Dong, Mingling Liu
Publikováno v:
Surface Science. 734:122317
Gas-sensing properties of Pb, Pd modified C3N4 for SF6 decomposition products detection: A DFT study
Publikováno v:
Chemical Physics. 570:111898
Publikováno v:
Materials; Volume 15; Issue 15; Pages: 5152
The adsorption capacity of intrinsic SnS2 to NH3, Cl2 and C2H2 is very weak. However, non-metallic elements B and N have strong chemical activity, which can significantly improve the conductivity and gas sensitivity of SnS2. Based on density function
Publikováno v:
2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Autor:
Aijuan Dong, Xinlian Liu
Publikováno v:
2021 IEEE Seventh International Conference on Multimedia Big Data (BigMM).
Publikováno v:
E-learning Experiences and Future
In the past decade, we have witnessed unprecedented advances in multimedia technology. As a result, an unprecedented amount of multimedia data is being generated. Among the myriad types of multimedia data, presentation videos from lectures, conferenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05659e0d2843dc0d61a60673768ae1b4
http://www.intechopen.com/articles/show/title/ontology-driven-annotation-and-access-of-educational-video-data-in-e-learning
http://www.intechopen.com/articles/show/title/ontology-driven-annotation-and-access-of-educational-video-data-in-e-learning
Autor:
Xinlian Liu, Aijuan Dong
Publikováno v:
ICSC
Existing scholarship on Tang Poetry often focuses on linguistics or the cultural and social impact of selected poets. In this paper, a method was developed for constructing a Tang poet network based on natural language processing and statistical grap