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pro vyhledávání: '"He, QiZhi"'
The present study aims to extend the novel physics-informed machine learning approach, specifically the neural-integrated meshfree (NIM) method, to model finite-strain problems characterized by nonlinear elasticity and large deformations. To this end
Externí odkaz:
http://arxiv.org/abs/2407.11183
Autor:
Du, Honghui, He, QiZhi
We present the neural-integrated meshfree (NIM) method, a differentiable programming-based hybrid meshfree approach within the field of computational mechanics. NIM seamlessly integrates traditional physics-based meshfree discretization techniques wi
Externí odkaz:
http://arxiv.org/abs/2311.12915
This work presents a multi-resolution physics-informed recurrent neural network (MR PI-RNN), for simultaneous prediction of musculoskeletal (MSK) motion and parameter identification of the MSK systems. The MSK application was selected as the model pr
Externí odkaz:
http://arxiv.org/abs/2305.16593
One of the most challenging and consequential problems in climate modeling is to provide probabilistic projections of sea level rise. A large part of the uncertainty of sea level projections is due to uncertainty in ice sheet dynamics. At the moment,
Externí odkaz:
http://arxiv.org/abs/2301.11402
Large-scale river models are being refined over coastal regions to improve the scientific understanding of coastal processes, hazards and responses to climate change. However, coarse mesh resolutions and approximations in physical representations of
Externí odkaz:
http://arxiv.org/abs/2210.03240
Publikováno v:
Computer Methods in Applied Mechanics and Engineering 385 (2021) 114034
Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the classical constitutive model construction. However, it remains difficult to
Externí odkaz:
http://arxiv.org/abs/2209.04416
In this paper, we develop a physics-informed neural network (PINN) model for parabolic problems with a sharply perturbed initial condition. As an example of a parabolic problem, we consider the advection-dispersion equation (ADE) with a point (Gaussi
Externí odkaz:
http://arxiv.org/abs/2208.08635
Numerical modeling and simulation have become indispensable tools for advancing a comprehensive understanding of the underlying mechanisms and cost-effective process optimization and control of flow batteries. In this study, we propose an enhanced ve
Externí odkaz:
http://arxiv.org/abs/2203.01985
Autor:
He, Qizhi, Wan, Shun, Jiang, Mingli, Li, Wei, Zhang, Yan, Zhang, Lele, Wu, Mengyao, Lin, Jie, Zou, Liang, Hu, Yingfan
Publikováno v:
In Journal of Ethnopharmacology 15 July 2024 329
Autor:
Du, Honghui, He, QiZhi
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 July 2024 427