TorchFEM is a compact finite element library based on PyTorch taking advantage of the auto-differentiation of PyTorch to speed up the traditional finite element pipeline, instead of train a black-box ...

In this paper, the optimal control problem of parabolic integro-differential equations is solved by gradient recovery based two-grid finite element method. Piecewise linear functions are used to ...

This article introduces a hybrid BE-FE method for solving the EEG forward problem, leveraging the strengths of both the Boundary Element Method (BEM) and Finite Element Method (FEM). FEM accurately ...

Abstract: The work studies the effectiveness of using curved finite elements in finite element modeling. The study was made on the example of solving a magnetostatic problem by means of a finite ...

Abstract: Multiscale finite element methods for 2D/1D problems have been studied in this work to demonstrate their excellent ability to solve the eddy current problem in a single iron sheet of ...

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Together with electroencephalography (EEG), magnetoencephalography (MEG) is a technique used to investigate brain activity. EEG and MEG are devoted to detect the electric potential distribution and ...

ABSTRACT: The quasi-static explicit finite element method (FEM) and element free Galerkin (EFG) method are applied to trace the post-buckling equilibrium path of thin-walled members in this paper. The ...