2024
DOI: 10.1088/1402-4896/ad5258
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A discretization-free deep neural network-based approach for advection-dispersion-reaction mechanisms

Hande Uslu Tuna,
Murat Sari,
Tahir Cosgun

Abstract: This study aims to provide insights into new areas of artificial intelligence approaches by examining how these techniques can be applied to predict behaviours for difficult physical processes represented by partial differential equations, particularly equations involving nonlinear dispersive behaviours. The current advection-dispersion-reaction equation is one of the key formulas used to depict natural processes with distinct characteristics. It is composed of a first-order advection component, a third-order … Show more

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