Zhang, Wen; Li, Jian The robust physics-informed neural networks for a typical fourth-order phase field model. (English) Zbl 07692035 Comput. Math. Appl. 140, 64-77 (2023). MSC: 65M60 76M10 65M12 68T05 35Q30 PDFBibTeX XMLCite \textit{W. Zhang} and \textit{J. Li}, Comput. Math. Appl. 140, 64--77 (2023; Zbl 07692035) Full Text: DOI
Zhang, Wen; Li, Jian CPINNs: a coupled physics-informed neural networks for the closed-loop geothermal system. (English) Zbl 1524.76336 Comput. Math. Appl. 132, 161-179 (2023). MSC: 76M99 76M10 76D05 65M12 68T05 65N30 PDFBibTeX XMLCite \textit{W. Zhang} and \textit{J. Li}, Comput. Math. Appl. 132, 161--179 (2023; Zbl 1524.76336) Full Text: DOI
Yue, Jing; Li, Jian; Zhang, Wen CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems. arXiv:2201.13237 Preprint, arXiv:2201.13237 [math.NA] (2022). MSC: 35M12 68T07 BibTeX Cite \textit{J. Yue} et al., ``CDNNs: The coupled deep neural networks for coupling of the Stokes and Darcy-Forchheimer problems'', Preprint, arXiv:2201.13237 [math.NA] (2022) Full Text: DOI arXiv OA License
Jiang, Haotian; Li, Jian; Liu, Daogao; Singla, Sahil Algorithms and adaptivity gaps for stochastic \(k\)-TSP. (English) Zbl 07650393 Vidick, Thomas (ed.), 11th innovations in theoretical computer science conference, ITCS 2020, Seattle, Washington, USA, January 12–14, 2020. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 151, Article 45, 25 p. (2020). MSC: 68Qxx PDFBibTeX XMLCite \textit{H. Jiang} et al., LIPIcs -- Leibniz Int. Proc. Inform. 151, Article 45, 25 p. (2020; Zbl 07650393) Full Text: DOI arXiv