Physics-informed neural networks for phase-field method in two-phase flow[J]. Physics of Fluids, 2022, 34(5): 052109. 论文地址:https://aip.scitation.org/doi/pdf/10.1063/5.0091063 参考项目:https://github.com/aaronbuhendwa/twophasePINN 1.2 实现方法 作者提出了一个基于深度神经网络的解决复杂...
The primary dataset was generated by running up to 10,000 High-Fidelity Phase-Field simulations in parallel using High-Performance Computing (HPC). The framework is compatible with all major operating systems and has been thoroughly tested on Python 3.7 and later versions....
Runge-Kutta RK4 Space discretization and partial differential operators utilize finite difference method (FDM). Time integration scheme utilizes 4th-order Runge-Kutta method (RK4). pythoncrystalgputaichiphase-field 3watching 8forks Languages Python100.0%...
The phase field method was first introduced to model solid–liquid phase transition in which surface tension and nonequilibrium thermodynamics behaviour become important at the interface. Computationally, the phase field method has features in common with the level set method (Chen et al., 1991; Eva...
The paper is organized as follows: first, we highlight the method and the governing equations, followed by an introduction to the phase-field method. We then explain the numerical approach, including the coupling process. We test and verify this workflow in several case studies to demonstrate it...
A new phase-field modeling framework with an emphasis on performance, flexibility, and ease of use is presented. Foremost among the strategies employed to fulfill these objectives are the use of a matrix-free finite element method and a modular, applicat
Building on these past works, this current article utilizes a monolithically-solved finite element method for solving an advanced physics-based phase-field approach to study the nanoscale growth of existing twins in anisotropic single crystal magnesium. We follow [61] for modeling the twinning interfac...
[355] implemented the phase-field method in a staggered scheme to sequentially solve for the displacement, phase-field, and fluid pressure. Asymmetric deflection along material interfaces and penetration of hydraulic fractures in naturally-layered porous media were reported for different layer arrangements...
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PRISMS-PF is a powerful, massively parallel finite element code for conducting phase field and other related simulations of microstructural evolution. The phase field method is commonly used for predicting the evolution if microstructures under a wide range of conditions and material systems. PRISMS-PF...