Titlebook: Nonlinear Approaches in Engineering Application; Automotive Engineeri Reza N. Jazar,Liming Dai Book 2024 The Editor(s) (if applicable) and

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Physics-Informed Neural Network for Solution of Nonlinear Differential Equations neural networks. The fine-tuning of these networks is achieved by optimizing a loss function, which factors in both the governing equation and its pertinent boundary and initial conditions. Impressively, PINNs have already demonstrated their prowess by accurately solving various ODEs and PDEs in di

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A Hybrid Numerical Study of the Nonlinear Instability of Nano-switchesble results in comparison with other techniques. This study presents a framework, similar to shooting method, for converting a general nonlinear BVP to an IVP system, which can be solved using various analytical and numerical methods. Finally, a parametric study is provided to investigate the effect

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Xiaoqiang Guo,Liming Dai,Jun Liu,Qingyou Liu,Yufa Heapters on information systems c- sidered both from engineering and social perspectives. Particular topics on so- ware engineering have been placed in a separate book part. We addressed also advancements in information retrieval and formal 978-90-481-7415-7978-1-4020-5634-5