Separable Physics-Informed Neural Networks for the solution of elasticity problems

A method for solving elasticity problems based on separable physics-informed neural networks (SPINN) in conjunction with the deep energy method (DEM) is presented. Numerical experiments have been carried out for a number of problems showing that this method has a significantly higher convergence rat...

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Bibliographische Detailangaben

Hauptverfasser:	Es'kin, Vasiliy A, Davydov, Danil V, Gur'eva, Julia V, Malkhanov, Alexey O, Smorkalov, Mikhail E
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Numerical Analysis Mathematics - Numerical Analysis Physics - Applied Physics
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