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Mengzhen Wu, Xianghong Xu, Haochen Zhang, Rui Zhou and Jianshan Wang
As a traditional numerical simulation method for pantograph?catenary interaction research, the pantograph?catenary finite element model cannot be applied to the real-time monitoring of pantograph?catenary contact force, and the computational cost require...
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Sheng Zhang, Yuguang Bai, Youwei Zhang and Dan Zhao
Hypersonic vehicles or engines usually employ complex thermal protecting shells. This sometimes brings multi-physics difficulties, e.g., thermal-aeroelastic problems like panel flutter etc. This paper aims to propose a novel optimization method versus th...
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George Tzoumakis, Konstantinos Fotopoulos and George Lampeas
Future liquid hydrogen-powered aircraft requires the design and optimization of a large number of systems and subsystems, with cryogenic tanks being one of the largest and most critical. Considering previous space applications, these tanks are usually st...
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Alexander Isaev, Tatiana Dobroserdova, Alexander Danilov and Sergey Simakov
This study introduces an innovative approach leveraging physics-informed neural networks (PINNs) for the efficient computation of blood flows at the boundaries of a four-vessel junction formed by a Fontan procedure. The methodology incorporates a 3D mesh...
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Liushuai Cao, Yanyan Pan, Gang Gao, Linjie Li and Decheng Wan
Wakes produced by underwater vehicles, particularly submarines, in density-stratified fluids play a pivotal role across military, academic, and engineering domains. In comparison to homogeneous fluid environments, wakes in stratified flows exhibit distin...
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Xuan Di, Rongye Shi, Zhaobin Mo and Yongjie Fu
For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks (DN...
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Ebenezer O. Oluwasakin and Abdul Q. M. Khaliq
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and m...
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Patrice Koehl, Marc Delarue and Henri Orland
The Gromov-Wasserstein (GW) formalism can be seen as a generalization of the optimal transport (OT) formalism for comparing two distributions associated with different metric spaces. It is a quadratic optimization problem and solving it usually has compu...
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Pin Wu, Lulu Ji, Wenyan Yuan, Zhitao Liu and Tiantian Tang
The push-plate kiln is a kind of kiln equipment widely used in the oxygen-free sintering of high-temperature alloy materials. Its flow field monitoring has an important application value for the manufacturing industry. However, traditional simulation met...
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S.A. Bukashkin,M.A. Cherepnev
Pág. 104 - 108
Recently, many papers have appeared where it is proposed to use the quantum mechanical properties of interatomic interaction to solve cryptographic problems. In fact, we are talking about transferring the solution of the problem of the stability of infor...
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