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Dai, S. (author), Ma, Q. (author), Zhu, S. (author), Liu, Mengkun (author), Andersen, T. (author), Fei, Z. (author), Goldflam, M.D. (author), Wagner, M. (author), Watanabe, Kenji (author), Taniguchi, T. (author), Thiemens, M. (author), Keilmann, F. (author), Janssen, G.C.A.M. (author), Jarillo-Herrero, P. (author), Fogler, M. (author), Basov, D.N. (author)
abstract 2015
document
Wang, Feifei (author), Ren, Fuqiang (author), Ma, Zhuoran (author), Qu, Liangqiong (author), Gourgues, Ronan (author), Esmaeil Zadeh, I.Z. (author), Los, Johannes W.N. (author), Qin-Dregely, Y. (author), Dai, Hongjie (author)
Light scattering by biological tissues sets a limit to the penetration depth of high-resolution optical microscopy imaging of live mammals in vivo. An effective approach to reduce light scattering and increase imaging depth is to extend the excitation and emission wavelengths to the second near-infrared window (NIR-II) at >1,000 nm, also...
journal article 2022
document
Dai, Jiaxin (author), Fu, Dongmei (author), Song, Guangxuan (author), Ma, Lingwei (author), Guo, Xin (author), Mol, J.M.C. (author), Cole, Ivan (author), Zhang, Dawei (author)
Current experimental verification, computational modeling, and machine learning methods for predicting corrosion inhibition efficiency (IE) are limited to specific inhibitor categories with high cost and poor generalization. In this study, a cross-category corrosion inhibitor dataset is constructed and a three-level direct message passing...
journal article 2022
document
Ma, Jinbo (author), Dai, Jiaxin (author), Guo, Xin (author), Fu, Dongmei (author), Ma, Lingwei (author), Keil, Patrick (author), Mol, J.M.C. (author), Zhang, Dawei (author)
Following the construction of a dataset of cross-category corrosion inhibitors at different concentrations based on 1241 data from 184 research papers, a performance prediction model incorporating 2D–3D molecular graph representation and corrosion inhibitor concentration information was established. This model was shown to effectively predict...
journal article 2023
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