Daniel Peterseim

University of Augsburg — Germany

Engineering · Physical Sciences

22h-index2.0kcitations169works1.92yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(94), Advanced Mathematical Modeling in Engineering(93), Composite Material Mechanics(74), Numerical methods in engineering(26), Electromagnetic Simulation and Numerical Methods(21)

Publications170 total

Neural Network Acceleration of Iterative Methods for nonlinear Schrödinger eigenvalue problems
Journal of Computational and Applied Mathematics·2026
Metric-driven numerical methods
arXiv (Cornell University)·2025Open Access
Computational Multiscale Methods
Oberwolfach Reports·2025Open Access
Neural Network Localized Orthogonal Decomposition for Numerical Homogenization of Diffusion Operators with Random Coefficients
arXiv (Cornell University)·2025Open Access
Quantum Sampling and Moment Estimation for Transformed Gaussian Random Fields
ArXiv.org·2025Open Access
NNacceleration4EARCG
arXiv (Cornell University)·2025Open Access
Riemannian optimization methods for ground states of multicomponent Bose–Einstein condensates
IMA Journal of Numerical Analysis·2025· 1 cited
Super-Localized Orthogonal Decomposition Method for Heterogeneous Linear Elasticity
Computational Methods in Applied Mathematics·2025
Energy-Adaptive Riemannian Conjugate Gradient Method for Density Functional Theory
arXiv (Cornell University)·2025Open Access
A Simple Collocation-Type Approach to Numerical Stochastic Homogenization
Multiscale Modeling and Simulation·2025· 2 citedOpen Access
Super-Localized Orthogonal Decomposition Method for Heterogeneous Linear Elasticity
arXiv (Cornell University)·2025Open Access
Energy-Adaptive Riemannian Conjugate Gradient Method for Density Functional Theory
SSRN Electronic Journal·2025Open Access
Energy-Adaptive Riemannian Conjugate Gradient Method for Density Functional Theory
SSRN Electronic Journal·2025Open Access
Nonlinear quantum computation by amplified encodings
arXiv (Cornell University)·2024Open Access
Riemannian optimisation methods for ground states of multicomponent Bose-Einstein condensates
arXiv (Cornell University)·2024Open Access
Computational Polyconvexification of Isotropic Functions
Multiscale Modeling and Simulation·2024· 4 citedOpen Access
Hierarchical rank-one sequence convexification for the relaxation of variational problems with microstructures
Computer Methods in Applied Mechanics and Engineering·2024· 4 citedOpen Access
Mixed finite elements for the Gross–Pitaevskii eigenvalue problem: <i>a priori</i> error analysis and guaranteed lower energy bound
IMA Journal of Numerical Analysis·2024· 2 cited
Riemannian Newton Methods for Energy Minimization Problems of Kohn–Sham Type
Journal of Scientific Computing·2024· 7 citedOpen Access
Super-localized orthogonal decomposition for convection-dominated diffusion problems
BIT Numerical Mathematics·2024· 6 citedOpen Access
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Frequent Co-authors

Axel Målqvist(8), Patrick Henning(8), Robert Altmann(5), Carsten Carstensen(5), Dietmar Gallistl(4), Markus Kästner(4), Mira Schedensack(4), Philipp Morgenstern(3), Donald L. Brown(3), Moritz Hauck(3), Stefan Sauter(3), Roland Maier(3), Paul Hennig(2), Tatjana Stykel(2), Paul Seibert(2), Alexander Raßloff(2), Karl A. Kalina(2), Paul Reck(2), Barbara Verfürth(2), Ralf Kornhuber(1)