Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Qihang Feng"'
Publikováno v:
Sustainable Development and Engineering Economics, Iss 2, Pp 59-78 (2024)
This article analyses the sustainability of China’s economic growth in light of global challenges, focusing on macroeconomic changes in recent decades and their impact on the country’s economy. The study covers the period 1962–2022 and uses dat
Externí odkaz:
https://doaj.org/article/1e2be48fd66b4deeb706726861a9adc3
Publikováno v:
Materials Characterization. 201:112958
Publikováno v:
Advanced Engineering Materials. 25:2201271
Publikováno v:
Journal of Alloys and Compounds. 924:166587
Publikováno v:
Materials Science and Engineering: A. 855:143915
Multifunctional structural lithium ion batteries based on carbon fiber reinforced plastic composites
Autor:
Mengjie Feng, Shubin Wang, Boming Zhang, Yalin Yu, Guocheng Qi, Fangyu Tian, Jiping Yang, Qihang Feng
Publikováno v:
Composites Science and Technology. 147:62-70
In this study, the feasibility of multifunctional structural lithium ion batteries (LIBs) based on carbon fiber reinforced plastic (CFRP) composites was investigated. T700S carbon fabrics undertook the roles of both reinforcements and electrode mater
Publikováno v:
Materials Science and Engineering: B. 219:37-44
As one of significant parts of structural power composites, structural electrolytes have desirable mechanical properties like structural resins while integrating enough ionic conductivity to work as electrolytes. Here, a series of polyethylene glycol
Publikováno v:
Applied Surface Science. 392:27-35
Carboxyl functionalized carbon fibers with preserved tensile strength and electrochemical properties were acquired through a simple chemical oxidation method, and the proposed underlying mechanism was verified. The surface of carboxyl functionalizing
Autor:
Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang, Derek F. Wong, Yifu Chen, Mengyuan Li, Bowen Wu
Publikováno v:
ACL
Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the research of conversational agents over the past few years. Despite of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0423ab621578883e6077dd0ee02b2e57
http://arxiv.org/abs/1911.02390
http://arxiv.org/abs/1911.02390
Publikováno v:
MRQA@EMNLP
Despite the remarkable progress on Machine Reading Comprehension (MRC) with the help of open-source datasets, recent studies indicate that most of the current MRC systems unfortunately suffer from weak robustness against adversarial samples. To addre