Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Haibao, Lu"'
Publikováno v:
Giant, Vol 18, Iss , Pp 100265- (2024)
Ice-templating technology has recently attracted extensive attention to achieve programed structure-property relationships in porous soft matter scaffolds. However, there is a huge gap existed between theoretical understanding and practical applicati
Externí odkaz:
https://doaj.org/article/b1e730915d3a43dabd7609e4fc8be805
Publikováno v:
Giant, Vol 17, Iss , Pp 100210- (2024)
Complex coupling of brittle and stretchable networks in double-network (DN) gel has been a hot research topic to understand working principle of ultra-high mechanical toughness, in comparison with the conventional gels. In this study, both the percol
Externí odkaz:
https://doaj.org/article/34fe1bc611d6478c8e0eb3e5a474117d
Autor:
Xue Liu, Jingwei Li, Yuan Luo, Jianjun Li, Zhonglin Wei, Jungang Cao, Haibao Lu, Dongxing Zhang
Publikováno v:
Carbon Trends, Vol 10, Iss , Pp 100236- (2023)
We prepare carbon nanotubes based on the cross-linking reaction between small organic molecules citric acid and amino urea or ethylenediamine. Factors affecting the yield of carbon nanotube are optimized and catalytic effect of hydrated metal nitrate
Externí odkaz:
https://doaj.org/article/d9e61d430c744f7dbc2154659bd352b3
Publikováno v:
International Journal of Applied Mechanics.
With the development of metamaterials, programmable and assembled auxetic structures have attracted extensive attention due to their unusual mechanical behaviors. In this study, we design a 3D printed metamaterial structure with significantly improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f13b1283f57f879f05a3508690ff078
https://doi.org/10.1142/s1758825123500576
https://doi.org/10.1142/s1758825123500576
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 479
Phase transition theory is a powerful approach to study shape-memory effect (SME) and dynamic relaxation behaviour in amorphous shape-memory polymers (SMPs) undergoing glass transition processes. However, previous studies are mostly limited to buildi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ac0cce36a1bff88a3dbe729a8c843d8
https://doi.org/10.1098/rspa.2023.0067
https://doi.org/10.1098/rspa.2023.0067
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 479
Understanding working principles and toughening mechanisms of soft elastomers has been a huge challenge due to their significant scaling effects from molecules to bulk polymer. In this study, by combining Sierpinski fractal and scaling theory, an ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4257ce2edd385d5c17388aceb686066
https://doi.org/10.1098/rspa.2022.0717
https://doi.org/10.1098/rspa.2022.0717
Publikováno v:
Pigment & Resin Technology, 2016, Vol. 45, Issue 2, pp. 93-98.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-05-2015-0048
Publikováno v:
Pigment & Resin Technology, 2016, Vol. 45, Issue 1, pp. 62-70.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-04-2015-0040
Publikováno v:
International Journal of Applied Mechanics. 14
With the development of 3D printing technology, programmable auxetic structures have attracted extensive attention due to their designable and abnormally mechanical properties. In this study, we design a 3D printed programmable auxetic star-like stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aab22dcc342c5b31f9725a471bd1d64
https://doi.org/10.1142/s1758825122500983
https://doi.org/10.1142/s1758825122500983
Autor:
Ying Liu, Fengling Zhuo, Jian Zhou, Linjuan Kuang, Kaitao Tan, Haibao Lu, Jianbing Cai, Yihao Guo, Rongtao Cao, YongQing Fu, Huigao Duan
Publikováno v:
ACS applied materialsinterfaces. 14(48)
Machine-learning assisted handwriting recognition is crucial for development of next-generation biometric technologies. However, most of the currently reported handwriting recognition systems are lacking in flexible sensing and machine learning capab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45dc83d46691b3901a63664e9b2c384
https://pubmed.ncbi.nlm.nih.gov/36417548
https://pubmed.ncbi.nlm.nih.gov/36417548