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Using GPGPU to Enhance Simulation of the Functionalized Cahn-Hilliard Equation

机译:使用GPGPU提高官能化CAHN-HILLIARD方程的模拟

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The Functionalized Cahn-Hilliard (FCH) Equation describes the dynamics of pore network formation in a functionalized polymer/solvent membrane. During the casting of such membranes, processes occur on very diverse timescales requiring long computationally intensive simulations. Our scheme is designed to be unconditionally gradient stable allowing for adaptivity in time stepping while preserving the discrete energy law. We present a novel iteration for solving the nonlinear equation with a Fourier spectral method, and numerical results are shown with a 100x speedup using a Graphics Processing Unit (GPU).
机译:官能化的CAHN-HILLIARD(FCH)方程描述了官能化聚合物/溶剂膜中孔网络形成的动态。在铸造这种膜期间,在需要长期计算密集型模拟的非常多样化的时间尺度上发生过程。我们的方案被设计为无条件梯度稳定,允许在保持离散能量法的同时踩踏时的适应性。我们介绍了一种用傅立叶光谱方法求解非线性方程的新颖迭代,并且使用图形处理单元(GPU)具有100倍加速度的数值结果。

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