A solution of a 3d Cartesian Poisson-Boltzmann equation

F. Fonseca
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Abstract

We solve the 3d-Cartesian Poisson-Boltzmann equation (PBEq) for a 1 : 1 electric charge configuration, using the tanh, Ricatti functions and Jacobi elliptic solitary wave methods. Also, we apply a deep learning algorithm, specifically, physics-informed neural networks (PINNs), which is implemented in a Python library known as DeepXDE, finding good agreement between the analytical and the PINNs results.
三维笛卡尔泊松-玻尔兹曼方程的解
利用tanh、Ricatti函数和Jacobi椭圆孤波方法,求解了1:1电荷组态下的三维泊松-玻尔兹曼方程(PBEq)。此外,我们应用了一种深度学习算法,特别是物理信息神经网络(pinn),它是在一个名为DeepXDE的Python库中实现的,在分析结果和pinn结果之间找到了很好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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