Deconvolutional artificial neural network models for large eddy simulation of turbulence von Yuan, Zelong, Xie, Chenyue, Wang, Jianchun

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Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence von Xie, Chenyue, Yuan, Zelong, Wang, Jianchun

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Fourier neural operator approach to large eddy simulation of three-dimensional turbulence von Li, Zhijie, Peng, Wenhui, Yuan, Zelong, Wang, Jianchun

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Artificial neural network-based spatial gradient models for large-eddy simulation of turbulence von Wang, Yunpeng, Yuan, Zelong, Xie, Chenyue, Wang, Jianchun

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Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence von Yuan, Zelong, Wang, Yunpeng, Xie, Chenyue, Wang, Jianchun

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Construction of one Ru2W12-cluster and six lacunary Keggin tungstoarsenate leading to the larger Ru-containing polyoxometalate photocatalyst von Li, Huafeng, Yang, Mengnan, Yuan, Zelong, Sun, Yahao, Ma, Pengtao, Niu, Jingyang, Wang, Jingping

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Dynamic nonlinear algebraic models with scale-similarity dynamic procedure for large-eddy simulation of turbulence von Yuan, Zelong, Wang, Yunpeng, Xie, Chenyue, Wang, Jianchun

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Attention-enhanced neural network models for turbulence simulation von Peng, Wenhui, Yuan, Zelong, Wang, Jianchun

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Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator von Li, Zhijie, Peng, Wenhui, Yuan, Zelong, Wang, Jianchun

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Ensemble data assimilation-based mixed subgrid-scale model for large-eddy simulations von Wang, Yunpeng, Yuan, Zelong, Wang, Jianchun

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A further investigation on the data assimilation-based small-scale reconstruction of turbulence von Wang, Yunpeng, Yuan, Zelong, Wang, Jianchun

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The effect of sub-filter scale dynamics in large eddy simulation of turbulence von Chang, Ning, Yuan, Zelong, Wang, Jianchun

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Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence von Peng, Wenhui, Yuan, Zelong, Li, Zhijie, Wang, Jianchun

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Dynamic iterative approximate deconvolution models for large-eddy simulation of turbulence von Yuan, Zelong, Wang, Yunpeng, Xie, Chenyue, Wang, Jianchun

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Subgrid-scale modelling using deconvolutional artificial neural networks in large eddy simulations of chemically reacting compressible turbulence von Teng, Jian, Yuan, Zelong, Wang, Jianchun

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Constant-coefficient spatial gradient models for the sub-grid scale closure in large-eddy simulation of turbulence von Wang, Yunpeng, Yuan, Zelong, Wang, Xiaoning, Wang, Jianchun

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A transformer-based neural operator for large-eddy simulation of turbulence von Li, Zhijie, Liu, Tianyuan, Peng, Wenhui, Yuan, Zelong, Wang, Jianchun

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Eddy viscosity enhanced temporal direct deconvolution model for temporal large-eddy simulation of turbulent channel flow von Fan, Boyu, Wang, Yunpeng, Yuan, Zelong, Wang, Jianchun

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Temporally sparse data assimilation for the small-scale reconstruction of turbulence von Wang, Yunpeng, Yuan, Zelong, Xie, Chenyue, Wang, Jianchun

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A dynamic spatial gradient model for the subgrid closure in large-eddy simulation of turbulence von Wang, Yunpeng, Yuan, Zelong, Xie, Chenyue, Wang, Jianchun

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