Generic Large Scale 3D Visualization of Accelerators and Beam Lines. - Andreas Adelmann; Derek Feichtinger (International Conference on Computational Science (3), 2002)

Benchmarking Parallel Three Dimensional FFT Kernels with ZENTURIO. - Radu Prodan; Andreas Bonelli; Andreas Adelmann; Thomas Fahringer; Christoph W. Überhuber (International Conference on Computational Science, 2004)

Improvements of a Fast Parallel Poisson Solver on Irregular Domains. - Andreas Adelmann; Peter Arbenz; Yves Ineichen (PARA (1), 2010)

A fast parallel Poisson solver on irregular domains applied to beam dynamics simulations. - Andreas Adelmann; Peter Arbenz; Yves Ineichen (J. Comput. Phys., 2010)

A New Vectorization Technique for Expression Templates in C++ - J. Progsch; Yves Ineichen; Andreas Adelmann (CoRR, 2011)

Perfectly matched layers in a divergence preserving ADI scheme for electromagnetics. - C. Kraus; Andreas Adelmann; Peter Arbenz (J. Comput. Phys., 2012)

A fast and scalable low dimensional solver for charged particle dynamics in large particle accelerators. - Yves Ineichen; Andreas Adelmann; Costas Bekas; Alessandro Curioni; Peter Arbenz (Comput. Sci. Res. Dev., 2013)

A novel adaptive time stepping variant of the Boris-Buneman integrator for the simulation of particle accelerators with space charge. - Matthias Toggweiler; Andreas Adelmann; Peter Arbenz; Jianjun Yang (J. Comput. Phys., 2014)

The Dynamic Kernel Scheduler - Part 1. - Andreas Adelmann; Uldis Locans; Andreas Suter (Comput. Phys. Commun., 2016)

Real-time computation of parameter fitting and image reconstruction using graphical processing units. - Uldis Locans; Andreas Adelmann; Andreas Suter; Jannis Fischer; Werner Lüstermann; Günther Dissertori; Qiulin Wang (Comput. Phys. Commun., 2017)

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

Sparse Grids based Adaptive Noise Reduction strategy for Particle-In-Cell schemes. - Sriramkrishnan Muralikrishnan; Antoine J. Cerfon; Matthias Frey; Lee F. Ricketson; Andreas Adelmann (CoRR, 2020)

On architecture and performance of adaptive mesh refinement in an electrostatics Particle-In-Cell code. - Matthias Frey; Andreas Adelmann; Uldis Locans (Comput. Phys. Commun., 2020)

Global sensitivity analysis on numerical solver parameters of Particle-In-Cell models in particle accelerator systems. - Matthias Frey; Andreas Adelmann (Comput. Phys. Commun., 2021)

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

Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks. - Renato Bellotti; Romana Boiger; Andreas Adelmann (Inf., 2021)

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. - Sichen Li; Mélissa Zacharias; Jochem Snuverink; Jaime Coello de Portugal; Fernando Pérez-Cruz; Davide Reggiani; Andreas Adelmann (Inf., 2021)

Sparse grid-based adaptive noise reduction strategy for particle-in-cell schemes. - Sriramkrishnan Muralikrishnan; Antoine J. Cerfon; Matthias Frey; Lee F. Ricketson; Andreas Adelmann (J. Comput. Phys. X, 2021)

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. - Andreas Adelmann; Walter Hopkins; Evangelos Kourlitis; Michael Kagan; Gregor Kasieczka; Claudius Krause; David Shih; Vinicius Mikuni; Benjamin Nachman; Kevin Pedro; Daniel Winklehner (CoRR, 2022)

ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing. - Sriramkrishnan Muralikrishnan; Matthias Frey; Alessandro Vinciguerra; Michael Ligotino; Antoine J. Cerfon; Miroslav Stoyanov; Rahulkumar Gayatri; Andreas Adelmann (CoRR, 2022)

Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators. - Sichen Li; Andreas Adelmann (CoRR, 2022)

Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL. - Arnau Albà; Jimin Seok; Andreas Adelmann; Scott Doran; Gwanghui Ha; Soonhong Lee; Yinghu Piao; John Power; Maofei Qian; Eric Wisniewski; Joseph Xu; Alexander Zholents (Comput. Phys. Commun., 2022)

Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. - Sichen Li; Jochem Snuverink; Fernando Pérez-Cruz; Andreas Adelmann (CoRR, 2023)

Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks. - Arnau Albà; Andreas Adelmann; Lucas Münster; Dimitri Rochman; Romana Boiger (CoRR, 2023)

Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures. - Sriramkrishnan Muralikrishnan; Matthias Frey; Alessandro Vinciguerra; Michael Ligotino; Antoine J. Cerfon; Miroslav Stoyanov; Rahulkumar Gayatri; Andreas Adelmann (PP, 2024)

A Massively Parallel Performance Portable Free-space Spectral Poisson Solver. - Sonali Mayani; Veronica Montanaro; Antoine J. Cerfon; Matthias Frey; Sriramkrishnan Muralikrishnan; Andreas Adelmann (CoRR, 2024)