Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ming-Jing Tang"'
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure data. With the rapid accumulation of biological network data, GNNs have also become an importan
Externí odkaz:
https://doaj.org/article/f0b6a777af4449459712f80a4f55448d
Autor:
Ming Jing Tang, Hangtian Liu, Yan Zhong, Bin Kang, Fujie Zhang, Xuming Guo, Zhiyu Chen, Ran Ang
Publikováno v:
ACS Applied Materials & Interfaces. 12:36347-36354
Liquid-like materials have attracted increasing attention, owing to their phonon-liquid electron-crystal feature. As a typical representative, the superionic conductor AgCrSe2 is regarded as a promising thermoelectric for its intrinsic ultralow latti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c19f6b0c34a090f9397698a12b99f42b
https://doi.org/10.1021/acsami.0c09355
https://doi.org/10.1021/acsami.0c09355
Publikováno v:
Journal of Applied Polymer Science. 114:3495-3500
Polycarbonate (PC) and PC modified by polyacrylate/TiO2 composite particles were exposed both in an outdoor environment with typical humid and hot climatic conditions in the Jiangjin area and in an indoor hygrothermal environment for accelerated agin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eff30e0eeaf6c52856a36754aab62af7
https://doi.org/10.1002/app.30898
https://doi.org/10.1002/app.30898
Autor:
Shaoming Huang, Jiao Pengchong, Yan Zhang, Jian-Guo Deng, Ming-Jing Tang, Xiao-Ping Yang, Xu Haibing
Publikováno v:
Scientific Reports
Analagous to a long-ranged rocket equipped with multi-stage engines, a luminescent compound with consistent emission signals across a large range of concentrations from two stages of sensitizers can be designed. In this approach, ACQ, aggregation-cau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c2297a46193c400e49b3c873388cfb