Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yuntao Qu"'
Autor:
Yuntao Qu, Yu Cai, Lijing Huang, Tianyuan Gao, Haowei Jiang, Huanhuan Zhang, Zhao-xia Huang, Jin-ping Qu
Publikováno v:
Industrial & Engineering Chemistry Research. 62:1438-1449
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60aae21da1db38fe7c61ac5f8c763a50
https://doi.org/10.1021/acs.iecr.2c04124
https://doi.org/10.1021/acs.iecr.2c04124
Publikováno v:
Journal of Materials Engineering and Performance. 31:9596-9605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc11e5063331558004366c3767952b68
https://doi.org/10.1007/s11665-022-07001-1
https://doi.org/10.1007/s11665-022-07001-1
Autor:
Xin Dong, Haojiang Shi, Yuntao Qu, Jiazhen Yan, Li Rui, Huabei Peng, Yanan Zhou, Qi Sun, Sheng Xu, Ning Li
Publikováno v:
Journal of Materials Science & Technology. 93:244-253
In this work, we used the selective laser melting (SLM) fabricated Co-Cr alloy with prominent residual strain, extremely non-equilibrium microstructures, and low stacking fault energy as a precursor to fabricate materials with the optimal grain bound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bf2c9155f6938bd0c70d1d3e1448f73
https://doi.org/10.1016/j.jmst.2021.03.063
https://doi.org/10.1016/j.jmst.2021.03.063
Publikováno v:
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. :1-14
It is difficult to choose the appropriate numerical simulation methods to model the character of non-premixed diffusion combustion in particle packed bed among so many various methods. Four differe...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6944d28aef746525139a5fe1fc20120
https://doi.org/10.1080/15567036.2020.1813220
https://doi.org/10.1080/15567036.2020.1813220
Publikováno v:
Polymer. 256:125185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2198f788534ce7c694689c1d1b42432
https://doi.org/10.1016/j.polymer.2022.125185
https://doi.org/10.1016/j.polymer.2022.125185
Publikováno v:
CVPR
In real application scenarios, the performance of deep networks may be degraded when the dataset contains noisy labels. Existing methods for learning with noisy labels are limited by two aspects. Firstly, methods based on the noise probability modeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4c0fea07a971d2372e6a070c47023a
https://doi.org/10.1109/cvpr46437.2021.00675
https://doi.org/10.1109/cvpr46437.2021.00675
Publikováno v:
The Journal of Prosthetic Dentistry. 128:218.e1-218.e7
The forces exerted on teeth and prostheses during mastication are repeated and dynamic, resulting in fatigue damage to dental prostheses. Most fractures of dental restorations are fatigue failure. The 4-point bend fatigue behavior of Co-Cr-Mo-W alloy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75d0b96c0de87e2972fd5d29d3081910
https://doi.org/10.1016/j.prosdent.2022.05.011
https://doi.org/10.1016/j.prosdent.2022.05.011
Publikováno v:
Composites Part A: Applied Science and Manufacturing. 156:106893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b887895d035c8ec781716d534849e52a
https://doi.org/10.1016/j.compositesa.2022.106893
https://doi.org/10.1016/j.compositesa.2022.106893
Autor:
Xin Dong, Ning Li, Jiansheng Yu, Yuntao Qu, Miaomiao Wu, Yanan Zhou, Haojiang Shi, Huabei Peng, Yuxian Zhang, Jiazhen Yan
Publikováno v:
Journal of Alloys and Compounds. 903:163904
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f51261c67e54d029bb8ceca931468c5
https://doi.org/10.1016/j.jallcom.2022.163904
https://doi.org/10.1016/j.jallcom.2022.163904
Autor:
Jiazhen Yan, Yanan Zhou, Huabei Peng, Wenbo Liu, Ning Li, Sheng Xu, Xin Dong, Qi Sun, Haojiang Shi, Yuntao Qu, Zhang Biao
Publikováno v:
Materials Science and Engineering: A. 795:140000
Co–Cr–Mo based alloy was widely used biomaterials for metallic implants fields. Recently, selective lase melting (SLM), one of the additive manufacturing technologies, is broadly studied because it can produce metallic implants with complex geome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6091d827c5bc68f60b4665535a35ae82
https://doi.org/10.1016/j.msea.2020.140000
https://doi.org/10.1016/j.msea.2020.140000