Implementation of a parallel finite-element library: test case on a non-local continuum damage model

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In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a useful concept for ot ...

We perform an error analysis of a fully discretised Streamline Upwind Petrov Galerkin Dynamical Low Rank (SUPG-DLR) method for random time-dependent advection-dominated problems. The time integration scheme has a splitting-like nature, allowing for potenti ...

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Deep Neural Networks (DNNs) training can be difficult due to vanishing and exploding gradients during weight optimization through backpropagation. To address this problem, we propose a general class of Hamiltonian DNNs (H-DNNs) that stem from the discretiz ...

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The finite element method is a well-established method for the numerical solution of partial differential equations (PDEs), both linear and nonlinear. However, the repeated re -assemblage of finite element matrices for nonlinear PDEs is frequently pointed ...

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Lightning strikes can seriously affect the reliability and availability of electrical infrastructures. The computation of lightning-electromagnetic fields represents one of the most crucial steps in the evaluation of the induced effects; thus, having at di ...

Implementation of a parallel finite-element library: test case on a non-local continuum damage model

Chattez avec Graph Search

From low-rank retractions to dynamical low-rank approximation and back

Error estimates for SUPG-stabilised Dynamical Low Rank Approximations

Highly Parallel RTL Simulation

Applications of the thawed Gaussian approximation to electronic spectroscopy

The time-domain Cartesian multipole expansion of electromagnetic fields

Instabilities in Elastic and Magneto-Elastic Beams and Shells: from Shell Buckling to the Design of a Programmable Braille Reader

Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

Practical computational imaging by use of spatiotemporal light modulation: from simulations to applications in biological microscopy

Neuromorphic computing based on halide perovskites

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Hamiltonian Deep Neural Networks Guaranteeing Non-Vanishing Gradients by Design

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

Lattice Green's function method for Atomistic/Continuum coupling

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Training Efficient Controllers via Analytic Policy Gradient

On the fast assemblage of finite element matrices with application to nonlinear heat transfer problems

Decentralized in-order execution of a sequential task-based code for shared-memory architectures

A Prony-based approach for accelerating the lightning electromagnetic fields computation above a perfectly conducting ground