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05/18/2023
A Survey on Time-Series Pre-Trained Models
Time-Series Mining (TSM) is an important research area since it shows gr...
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04/06/2023
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions
Due to the complex behavior arising from non-uniqueness, symmetry, and b...
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09/18/2021
PCNN: A physics-constrained neural network for multiphase flows
The present study develops a physics-constrained neural network (PCNN) t...
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03/14/2021
Implementing contact angle boundary conditions for second-order Phase-Field models of wall-bounded multiphase flows
In the present work, a general formulation is proposed to implement the ...
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02/13/2021
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change
In the present study, a consistent and conservative Phase-Field model is...
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01/12/2021
