figshare2026 · Astronomical catalogue
<p>Comparison between CoRoPINN and standard or adaptive PINN baselines under different base models.</p><p>Comparison between CoRoPINN and standard or adaptive PINN baselines under different base models.</p>
figshare2026 · Astronomical catalogue
<p>Neural network architectures used in the experiments.</p><p>Neural network architectures used in the experiments.</p>
figshare2026 · Astronomical catalogue
<p>Results of CoRoPINN and comparison algorithms on multidimensional PDEs using the PINN backbone.</p><p>Results of CoRoPINN and comparison algorithms on multidimensional PDEs using the PINN backbone.</p>
figshare2026 · Astronomical catalogue
<p>Summary of the benchmark problems used in this study.</p><p>Summary of the benchmark problems used in this study.</p>
figshare2026 · Astronomical catalogue
<p>Accuracy and wall-clock training-time comparison using the PINN backbone.</p><p>Accuracy and wall-clock training-time comparison using the PINN backbone.</p>
DaRUS2026 · dataset · unknown
Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"This repository contains supplemental data for the article Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators, accepted for publication in the International Journal for Numerical Methods in Engineering (IJNME) by Julius Herb and Felix Fritzen [1]. In this publication, we introduce UNO-CG, a hybrid solver that accelerates conjugate gradient (CG) solver
Borealis + Agri-environmental Research Data Dataverse2020 · dataset · unknown
Tutorials data and matlab files for Coupled Human-Natural Systems (CHNS) ModellingTutorials data and matlab files for Coupled Human-Natural Systems (CHNS) Modelling
DataCite2015 · collection · unknown
Asymptotic problems for stochastic partial differential equationsStochastic partial differential equations (SPDEs) can be used to model systems in a wide variety of fields including physics, chemistry, and engineering. The main SPDEs of interest in this dissertation are the semilinear stochastic wave equations which model the movement of a material with constant mass density that is exposed to both determinstic and random forcing. Cerrai and Freidlin have shown