Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jun-nan Wu"'
Publikováno v:
Energetic Materials Frontiers, Vol 4, Iss 4, Pp 254-261 (2023)
Exploring the application of machine learning (ML) in energetic materials (EMs) has been a hot research topic. Accordingly, the prediction of the detonation properties of EMs using ML methods has attracted much attention. However, the predictive mode
Externí odkaz:
https://doaj.org/article/b497e7f67eaa4ea5ab8764bfabfceaee
Autor:
Rui-Fang Liu, Lan- Hu, Jun-Nan Wu, Jing-Xuan Wang, Xin-Yu Wang, Zhi-Yuan Liu, Qi-Da Zhao, Wen-Jing Li, Xu-Dong Song, Jian-Hua Xiao
Publikováno v:
Free Radical Research. 56:77-89
Cell proliferation and senescence are processes induced by oxidative stress. In this study, we aimed to establish a cellular model of rapid proliferation and senescence of rat tail-tip fibroblasts by hydrogen peroxide (H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ea6f6369495ce9cc6e88d4b43b21344
https://doi.org/10.1080/10715762.2022.2037582
https://doi.org/10.1080/10715762.2022.2037582
Publikováno v:
Advanced Materials Research. :2146-2152
The grafting polymerization reaction of hemp fibers and acrylonitrile was studied in this paper, discussed hyperchromatic solution of hemp fibers. The morphology, structure and chemical composition of hemp fiber after and before grafting polymerizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ca00abd64557baa29a1afdf4b8eeb1
https://doi.org/10.4028/www.scientific.net/amr.332-334.2146
https://doi.org/10.4028/www.scientific.net/amr.332-334.2146
Publikováno v:
Chinese Journal of Chemistry. 13:391-395
The microcanonical rate constants for the hydrogen-transfer process of HCCF (reaction 7) and the fluoro-transfer process of FCCF (reaction 8) are carried out with tunneling correction and curvature correction. The results show that the tunneling effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba167deee73527f1f874708ce6542ab
https://doi.org/10.1002/cjoc.19950130503
https://doi.org/10.1002/cjoc.19950130503
Publikováno v:
Chinese Physics B. 25:124311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17b204d472b044da82f9591ec725a57
https://doi.org/10.1088/1674-1056/25/12/124311
https://doi.org/10.1088/1674-1056/25/12/124311
Autor:
Jun-Nan Wu, Jahau Lewis Chen
Publikováno v:
IEEE International Symposium on Electronics and the Environment, 2003..
A neural network has the advantages of ease of use and feasibility for solving nonlinear problems with learning capability. The theory of end-of-life design advisor (ELDA) is selected as the basic structure of back-propagation neural network to deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc10bcfaf89d25bd5d02fddcb202d49
https://doi.org/10.1109/isee.2003.1208066
https://doi.org/10.1109/isee.2003.1208066
Autor:
Chen, J.L., Jun-Nan Wu
Publikováno v:
IEEE International Symposium on Electronics & the Environment, 2003; 2003, p159-164, 6p
Publikováno v:
Chinese Physics B; Dec2016, Vol. 25 Issue 12, p1-1, 1p