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Δ-PINNs: Physics-informed neural networks on complex geometries
(2024)
Physics-informed neural networks (PINNs) have demonstrated promise in solving forward and inverse problems involving partial differential equations. Despite recent progress on expanding the class of problems that can be ...
A Trigonometric Recurrence Algorithm for Solving Nonlinear Problems in Structural Dynamics
(Sage Publications Ltd, 2006-06-09)
An analytical-numerical methodology for solving nonlinear problems governed by partial differential equations (PDE) is presented. The authors have previously used a method named WEM that consists essentially of the statement ...
Formation of trans PUFA during deodorization of canola oil: A study through computational simulation
(Elsevier Science SaLausanneSuíça, 2007)
Seismic amplitude analysis and quality factor estimation based on redatuming
(Universidade Federal do ParáBrasilInstituto de GeociênciasUFPAPrograma de Pós-Graduação em Geofísica, 2019)
Elementos finitos estabilizados para flujos con superficie libre: seguimiento y captura de interfase
(2009-04-23)
In this Thesis the resolution of transient free surface flow problems is considered for incompressible, viscous and Newtonian fluids, in a laminar and isothermal flow regime without surface tension effects, for two and ...