Abstract: In recent years, machine learning methods have been used to solve partial differential equations (PDEs) and dynamical systems, leading to the development of a new research field called ...
I am currently a Research Scientist at Data Analysis and Machine Learning Group within Computer Science and Mathematics Division, Oak Ridge National Laboratory. My research interests include ...
In order to facilitate a more profound comprehension of the interrelationship between the values in the table, they have been represented graphically in Figure 2. As demonstrated by the graphs, the ...
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
We introduce a new efficient spectral element approach to solve the two-dimensional magnetotelluric forward problem based on Gauss–Lobatto–Legendre polynomials. It combines the high accuracy of the ...
Abstract: In view of the fact that impulsive differential equations have the discreteness due to the impulse phenomenon, this article proposes a single hidden layer neural network method-based extreme ...
ABSTRACT: The improved physical information neural network algorithm has been proven to be used to study integrable systems. In this paper, the improved physical information neural network algorithm ...
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