[1] xie, q et al. 2022. two-dimensional transient heat transfer model of moving quenching jet based on machine learning. international journal of heat and mass transfer 191, 122765. [2] cai, j., liu, c., tang, x., kong, l., yu, f., wang, j., xie, q.*, li, h., li, s., 2022. understanding the effect of interface on the charge separation in bi2s3@sn: α-fe2o3 heterojunction for photoelectrochemical water oxidation. renewable energy 191, 195–203. [3] jing, l*., xie, q*. et al. 2020. multigenerational crumpling of 2d materials for anticounterfeiting patterns with deep learning authentication. matter 3, 2160–2180.(共同一作) [4] xie, q. et al., 2021. online prediction of mechanical properties of hot rolled steel plate using machine learning. materials & design 197, 109201. [5] chester y. s. h.*, xie, q. *, et al. (2020) understanding and optimization of thin film nanocomposite membranes for reverse osmosis with machine learning. journal of membrane science 606, 118135. (共同一作) [6] xie, q., huang, z., hou, q., zhang, l., and cai, j. (2019). heat transfer from a hot steel plate impinged by air-atomized water jet and impinging water jet. isij international 59, 113–121. [7] cai, j., ding, s., chen, g., sun, y., and xie, q*. (2018). in situ electrodeposition of mesoporous aligned α-fe2o3 nanoflakes for highly sensitive nonenzymatic h2o2 sensor. applied surface science 456, 302–306. [8] xie, q., wang, b., wang, y., wang, z., and wang, g. (2016). experimental investigation of high-temperature steel plate cooled by multiple nozzle arrays. isij international 56, 1210–1218. [9] xie, q., wang, b., wang, z., and wang, g. (2016). heat transfer coefficient and flow characteristics of hot steel plate cooling by multiple inclined impinging jets. isij international 56, 2236–2242. [10] xie, q., wang, b., wang, z., and wang, g. (2015). the effect of jet angle and initial plate temperature during jet impingement heat transfer process in ultra-fast cooling technology. steel research international 86, 489–494. |
