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Andreas Adelmann

Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling

Villigen

Switzerland

SCHOLARLY PAPERS

4

DOWNLOADS

116

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Uncertainty Quantification of Spent Nuclear Fuel with Multifidelity Monte Carlo

Number of pages: 31 Posted: 22 Jun 2024
Arnau Albà, Andreas Adelmann and Dimitri Rochman
affiliation not provided to SSRN, Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling and affiliation not provided to SSRN
Downloads 40 (1,183,237)

Abstract:

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Spent nuclear fuel, Uncertainty Quantification, Decay Heat, Monte Carlo, Multifidelity Monte Carlo, Machine learning

2.

Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks

Number of pages: 21 Posted: 13 Sep 2023
affiliation not provided to SSRN, Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling, affiliation not provided to SSRN, affiliation not provided to SSRN and Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling
Downloads 36 (1,249,711)
Citation 1

Abstract:

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Decay Heat, Neural Network, Nuclide Concentration, Sensitivity Analysis, Spent Nuclear Fuel, Uncertainty Quantification

3.

Retrieval of Aerosol Properties from in Situ, Multi-Angle Light Scattering Measurements Using Invertible Neural Networks

Number of pages: 61 Posted: 18 Dec 2021
Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling, Paul Scherrer Institute (PSI) - Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI) - Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling, Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling and Paul Scherrer Institute (PSI) - Laboratory of Atmospheric Chemistry
Downloads 28 (1,359,097)

Abstract:

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deep neural networks, aerosol property retrieval, in situ scattering measurements, inverse modelling

4.

VR-PIC: An entropic variance-reduction method for particle-in-cell solutions of the Vlasov–Poisson equation

Number of pages: 31 Posted: 10 Feb 2026
Victor Windhalb, Andreas Adelmann and Mohsen Sadr
affiliation not provided to SSRN, Paul Scherrer Institute (PSI) - Laboratory for Scientific Computing and Modelling and affiliation not provided to SSRN
Downloads 12 (1,534,404)

Abstract:

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Vlasov-Poisson equation, particle-in-cell method, variance reduction, maximum cross-entropy, moment problem