Abstract: The aim of this article is to implement the Generalized Modified Adomian Decomposition Method to compute the semi-numerical solution of the linear system of intuitionistic fuzzy initial ...
TensorFlow implementation for DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. Physics-informed neural networks are a type of promising tools to ...
Abstract: Scientific computations with a wide range of applications in domains such as developing vaccines, forecasting the weather, predicting natural disasters, simulating aerodynamics of spacecraft ...
[1] Kailai Xu, Bella Shi, Shuyi Yin. 2018. Deep learning for Partial Differential Equations (PDEs). CS230. [2] Maziar Raissi, Paris Perdikaris, and George Em Karniadakis. Physics informed deep ...
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