Zobrazeno 1 - 2
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pro vyhledávání: '"Davydov, Danil V."'
Autor:
Es'kin, Vasiliy A., Davydov, Danil V., Gur'eva, Julia V., Malkhanov, Alexey O., Smorkalov, Mikhail E.
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
Externí odkaz:
http://arxiv.org/abs/2401.13486
About optimal loss function for training physics-informed neural networks under respecting causality
Autor:
Es'kin, Vasiliy A., Davydov, Danil V., Egorova, Ekaterina D., Malkhanov, Alexey O., Akhukov, Mikhail A., Smorkalov, Mikhail E.
A method is presented that allows to reduce a problem described by differential equations with initial and boundary conditions to the problem described only by differential equations. The advantage of using the modified problem for physics-informed n
Externí odkaz:
http://arxiv.org/abs/2304.02282