Andreas Adelmann

Orcid: 0000-0002-7230-7007

According to our database1, Andreas Adelmann authored at least 24 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks.
CoRR, 2023

Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression.
CoRR, 2023

2022
Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL.
Comput. Phys. Commun., 2022

Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators.
CoRR, 2022

ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing.
CoRR, 2022

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation.
CoRR, 2022

2021
Sparse grid-based adaptive noise reduction strategy for particle-in-cell schemes.
J. Comput. Phys. X, 2021

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators.
Inf., 2021

Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks.
Inf., 2021

Erratum to: "On architecture and performance of adaptive mesh refinement in an electrostatics Particle-In-Cell code" [Comput. Phys. Commun. 247 (2020) 106912].
Comput. Phys. Commun., 2021

Global sensitivity analysis on numerical solver parameters of Particle-In-Cell models in particle accelerator systems.
Comput. Phys. Commun., 2021

2020
On architecture and performance of adaptive mesh refinement in an electrostatics Particle-In-Cell code.
Comput. Phys. Commun., 2020

Sparse Grids based Adaptive Noise Reduction strategy for Particle-In-Cell schemes.
CoRR, 2020

2019
On Nonintrusive Uncertainty Quantification and Surrogate Model Construction in Particle Accelerator Modeling.
SIAM/ASA J. Uncertain. Quantification, 2019

2017
Real-time computation of parameter fitting and image reconstruction using graphical processing units.
Comput. Phys. Commun., 2017

2016
The Dynamic Kernel Scheduler - Part 1.
Comput. Phys. Commun., 2016

2014
A novel adaptive time stepping variant of the Boris-Buneman integrator for the simulation of particle accelerators with space charge.
J. Comput. Phys., 2014

2013
A fast and scalable low dimensional solver for charged particle dynamics in large particle accelerators.
Comput. Sci. Res. Dev., 2013

2012
Perfectly matched layers in a divergence preserving ADI scheme for electromagnetics.
J. Comput. Phys., 2012

2011
A New Vectorization Technique for Expression Templates in C++
CoRR, 2011

2010
A fast parallel Poisson solver on irregular domains applied to beam dynamics simulations.
J. Comput. Phys., 2010

Improvements of a Fast Parallel Poisson Solver on Irregular Domains.
Proceedings of the Applied Parallel and Scientific Computing, 2010

2004
Benchmarking Parallel Three Dimensional FFT Kernels with ZENTURIO.
Proceedings of the Computational Science, 2004

2002
Generic Large Scale 3D Visualization of Accelerators and Beam Lines.
Proceedings of the Computational Science - ICCS 2002, 2002


  Loading...