Peter Zaspel

According to our database, Peter Zaspel authored at least 17 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Assessing non-nested configurations of multifidelity machine learning for quantum-chemical properties.

Vivin Vinod, Peter Zaspel

Mach. Learn. Sci. Technol., 2024

Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials.

Matthias Holzenkamp, Dongyu Lyu, Ulrich Kleinekathöfer, Peter Zaspel

CoRR, 2024

Investigating Data Hierarchies in Multifidelity Machine Learning for Excitation Energies.

Vivin Vinod, Peter Zaspel

CoRR, 2024

Benchmarking Data Efficiency in Δ-ML and Multifidelity Models for Quantum Chemistry.

Vivin Vinod, Peter Zaspel

CoRR, 2024

Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes.

Peter Zaspel, Michael Günther

CoRR, 2024

CheMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules.

Vivin Vinod, Peter Zaspel

CoRR, 2024

2023

Multi-Fidelity Machine Learning for Excited State Energies of Molecules.

Vivin Vinod, Sayan Maity, Peter Zaspel, Ulrich Kleinekathöfer

CoRR, 2023

2021

Towards data-driven filters in Paraview.

Drishti Maharjan, Peter Zaspel

CoRR, 2021

2019

Algorithmic Patterns for $$\mathcal {H}$$ H -Matrices on Many-Core Processors.

Peter Zaspel

J. Sci. Comput., 2019

On the Algebraic Construction of Sparse Multilevel Approximations of Elliptic Tensor Product Problems.

Helmut Harbrecht, Peter Zaspel

J. Sci. Comput., 2019

2018

A scalable H-matrix approach for the solution of boundary integral equations on multi-GPU clusters.

Helmut Harbrecht, Peter Zaspel

CoRR, 2018

2017

Algorithmic patterns for H-matrices on many-core processors.

Peter Zaspel

CoRR, 2017

2016

Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372).

Vincent Heuveline, Michael Schick, Clayton G. Webster, Peter Zaspel

Dagstuhl Reports, 2016

2014

EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond.

Dirk Pflüger, Hans-Joachim Bungartz, Michael Griebel, Frank Jenko, Tilman Dannert, Mario Heene, Christoph Kowitz, Alfredo Parra-Hinojosa, Peter Zaspel

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2011

Photorealistic visualization and fluid animation: coupling of Maya with a two-phase Navier-Stokes fluid solver.

Peter Zaspel, Michael Griebel

Comput. Vis. Sci., 2011

Massively Parallel Fluid Simulations on Amazon's HPC Cloud.

Peter Zaspel, Michael Griebel

Proceedings of the IEEE First Symposium on Network/Cloud Computing and Applications, 2011

2010

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations.

Michael Griebel, Peter Zaspel

Comput. Sci. Res. Dev., 2010