Publications

252 entries « 1 of 7 »

2024

G. Suarez, E. Özkaya, N.R. Gauger, H. Steiner, M. Schäfer, D. Naumann

Nonlinear Surrogate Model Design for Aerodynamic Dataset Generation Based on Artificial Neural Networks Journal Article

In: Aerospace, vol. 11, iss. 8, 2024, ISSN: 2226-4310.

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T. Kortus, R. Keidel, N.R. Gauger, Bergen pCT Collaboration

Exploring End-to-end Differentiable Neural Charged Particle Tracking – A Loss Landscape Perspective Miscellaneous

arXiv:2407.13420 [physics.comp-ph], 2024.

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M. Aehle, X. T. Nguyen, M. Novák, T. Dorigo, N. R. Gauger, J. Kieseler, M. Klute, V. Vassilev

Efficient Forward-Mode Algorithmic Derivatives of Geant4 Miscellaneous

arXiv:2407.02966 [physics.comp-ph], 2024.

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L. Chen, J. Rottmayer, L. Kusch, N. R.Gauger, Y. Ye,

Data-driven aerodynamic shape design with distributionally robust optimization approaches Journal Article

In: Computer Methods in Applied Mechanics and Engineering, vol. 429, pp. 117131, 2024, ISSN: 0045-7825.

Abstract | Links | BibTeX

M. Aehle, M. Novák, V. Vassilev, N. R. Gauger, L. Heinrich, M. Kagan, D. Lange

Optimization Using Pathwise Algorithmic Derivatives of Electromagnetic Shower Simulations Miscellaneous

arXiv:2405.07944 [physics.comp-ph], 2024.

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J. Blühdorn, N. R. Gauger

Local Adjoints for Simultaneous Preaccumulations with Shared Inputs Miscellaneous

arXiv:2405.07819 [cs.MS], 2024.

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J. Blühdorn, P. Gomes, M. Aehle, N. R. Gauger

Hybrid Parallel Discrete Adjoints in SU2 Miscellaneous

arXiv:2405.06056 [cs.MS], 2024.

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A. Hnatiuk, L. Kusch, J. Kusch, N. R. Gauger, A. Walther

Stochastic Aspects of Dynamical Low-Rank Approximation in the Context of Machine Learning Journal Article

In: Optimization Online, 2024.

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C.M. Ubal, N. Beishuizen, L. Kusch, J. van Oijen

Adjoint-based design optimization of a Kenics static mixer Journal Article

In: Results in Engineering, 2024.

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L. Chen, K. U. Bletzinger, N. R.Gauger, Y. Ye,

A gradient descent akin method for constrained optimization: algorithms and applications Journal Article

In: Optimization Methods and Software, 2024.

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E. Özkaya , J. Rottmayer, N.R. Gauger

Gradient Enhanced Surrogate Modeling Framework for Aerodynamic Design Optimization Journal Article

In: AIAA 2024-2670, 2024.

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2023

T. Kortus, R. Keidel, N.R. Gauger, Bergen pCT Collaboration

Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning Journal Article

In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, pp. 15820-15833, 2023.

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M. Aehle, J. Alme, C. Arata, I. Arsene, I. Bearden, T. Bodova, V. Borshchov, O. Bourrion, M. Bregant, A. van den Brink, V. Buchakchiev, A. Buhl, T. Chujo, L. Dufke, V. Eikeland, M. Fasel, N. Gauger, A. Gautam, A. Ghimouz, Y. Goto, R. Guernane, T. Hachiya, H. Hassan, L. He, H. Helstrup, L. Huhta, M. Inaba, T. Isidori, F. Jonas, T.Kawaguchi, R. Keidel, M. Kim, V. Kozhuharov, T. Kumaoka, L. Kusch, et al.

Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter Miscellaneous

arXiv:2311.07413 [physics.ins-det], 2023.

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M. Aehle, J. Alme, G. Barnaföldi, J. Blühdorn, T. Bodova, V. Borshchov, A. van den Brink, V. Eikeland, G. Feofilov, C. Garth, N. R. Gauger, et al.

Exploration of Differentiability in a Proton Computed Tomography Simulation Framework Journal Article

In: Physics in Medicine and Biology, vol. 68, no. 24, pp. 244002, 2023.

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L. Chen, J. Rottmayer, L. Kusch, N.R. Gauger, Y. Ye

Data-driven aerodynamic shape design with distributionally robust optimization approaches Miscellaneous

arXiv:2310.08931, 2023.

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T. Dorigo, M. Aehle, J. Donini, M. Doro, N. R. Gauger, R. Izbicki, A. Lee, L. Masserano, F. Nardi, Sidharth S S, A. Shen

End-To-End Optimization of the Layout of a Gamma Ray Observatory Miscellaneous

arXiv:2310.01857, 2023.

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M. Aehle, L. Arsini, R. Belén Barreiro, A. Belias, F. Bury, S. Cebrian, A. Demin, J. Dickinson, J. Donini, T. Dorigo, M. Doro, N. R. Gauger, A. Giammanco, L. Gray, B. S. González, V. Kain, J. Kieseler, L. Kusch, et al.

Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming Miscellaneous

arXiv:2310.05673, 2023.

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A. Schilling, M. Aehle, J. Alme, G. Barnaföldi, T. Bodova, V. Borshchov, A. van den Brink, V. Eikeland, G. Feofilov, C. Garth, N.R. Gauger, et al.

Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter Journal Article

In: Phys. Med. Biol., vol. 68, no. 194001, 2023.

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J. Blühdorn, N. R. Gauger

Automatic Differentiation of OpenMP with OpDiLib Miscellaneous

NHR Conference ’23 — Book of Abstracts (extended version), pp. 176–177, 2023, (poster contribution).

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M. Sagebaum; M. Aehle; N. R. Gauger

Integrating Enzyme-generated functions into CoDiPack Miscellaneous

arXiv:2307.06075, 2023.

Abstract | Links | BibTeX

T. Dorigo, A. Giammanco, P. Vischia, M. Aehle, M. Bawaj, A. Boldyrev, P. de Castro Manzano, D. Derkach, J. Donini, A. Edelen, F. Fanzago, N.R. Gauger, et al.

Toward the end-to-end optimization of particle physics instruments with differentiable programming Journal Article

In: Reviews in Physics, 2023.

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M. Sagebaum, J. Blühdorn, N.R. Gauger, J. Backhaus, C. Frey, G. Geiser, F. Bayer, E. Kügeler, C. Battistoni, M. Nagel

On recent developments for efficient turbomachinery design using algorithmic differentiation Journal Article

In: Proceedings of 15th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics (ETC15), no. ETC2023-346, 2023.

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M. Sagebaum, N.R. Gauger

Aggregated type handling in CoDiPack Journal Article

In: Proc. Appl. Math. Mech., vol. 22, iss. 1, no. e202200208, 2023.

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J. Blühdorn, M. Sagebaum, N. R. Gauger

Event-Based Automatic Differentiation of OpenMP with OpDiLib Journal Article

In: ACM Transactions on Mathematical Software, vol. 49, iss. 1, no. 3, pp. 1–31, 2023.

Abstract | Links | BibTeX

L. Chen, K. Bletzinger, N.R. Gauger, Y. Ye

A gradient descent akin method for constrained optimization: algorithms and applications Miscellaneous

arXiv:2302.11898, 2023.

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M. Aehle, J. Alme, G.G. Barnaföldi, T. Bodova, V. Borshchov, A. van den Brink, M. Chaar, V. Eikeland, G. Feofilov, C. Garth, N. R. Gauger, G. Genov, O. Grøttvik, H. Helstrup, S. Igolkin, R. Keidel, et al.

The Bergen proton CT system Journal Article

In: Journal of Instrumentation, vol. 18, no. 2, 2023.

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J. Rottmayer, E. Özkaya, S. Satcunanathan, B. Y. Zhou, M. Aehle, N. R. Gauger, M. Meinke, W. Schröder, S. Pullin

Trailing-Edge Noise Reduction using Porous Treatment and Surrogate-based Global Optimization Miscellaneous

arXiv:2301.13047, 2023.

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2022

M. Aehle, J. Blühdorn, M. Sagebaum, N.R. Gauger

Reverse-Mode Automatic Differentiation of Compiled Programs Miscellaneous

arXiv:2212.13760, 2022.

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M. Aehle, M. Bawaj, A. Belias, A. Boldyrev, P. de Castro Manzano, C. Delaere, D. Derkach, J. Donini, T. Dorigo, A. Edelen, P. Elmer, F. Fanzago, N. R. Gauger, et al.

Exploiting Differentiable Programming for the End-to-end Optimization of Detectors Miscellaneous

2022.

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M. Aehle, J. Blühdorn, M. Sagebaum, N. R. Gauger

Forward-Mode Automatic Differentiation of Compiled Programs Miscellaneous

arXiv:2209.01895, 2022.

Abstract | Links | BibTeX

F. Givois, M. Kabel, N.R. Gauger

QFT-based Homogenization Miscellaneous

arXiv:2207.12949 , 2022.

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T. Dick, N.R. Gauger, S. Schmidt

Combining Sobolev smoothing with parameterized shape optimization Journal Article

In: Computers & Fluids, vol. Vol. 244, 2022.

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P. Harder, D. Watson-Parris, P. Stier, D. Strassel, N.R. Gauger, J. Keuper

Physics-Informed Learning of Aerosol Microphysics Miscellaneous

arXiv:2207.11786 , 2022.

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O. Burghardt, P. Dehpanah, N.R. Gauger

Stabilization and Acceleration of Coupled Discrete Adjoint Solvers in Multi-Disciplinary Optimization Journal Article

In: AIAA 2022-3787, 2022.

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R. Sanchez, E. Özkaya, N.R. Gauger

Adjoint-Based Sensitivity Analysis in High-Temperature Fluid Flows with Paticipating Media Book Chapter

In: pp. 125-150, Modeling, Simulation and Optimization in the Health-and Energy-Sector, Vol. 14. Springer, Cham, 2022.

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R. Ram, D. Grünewald, N.R. Gauger

Scalable Hybrid Parallel ILU Preconditioner to Solve Sparse Linear Systems Journal Article

In: Parallel Processing Workshops. Euro-Par 2021. Lecture Notes in Computer Science, Vol. 13098. Springer, Cham, pp. 540-544, 2022.

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R. Ram, D. Grünewald, N.R. Gauger

Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS Journal Article

In: High Performance Computing. ISC High Performance 2022. Lecture Notes in Computer Science, Vol. 13289. Springer, Cham, pp. 334–353, 2022.

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T. Dorigo, A. Giammanco, P. Vischia, M. Aehle, M. Bawaj, A. Boldyrev, P. de Castro Manzano, D. Derkach, J. Donini, A. Edelen, F. Fanzago, N. R. Gauger, et al.

Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper Miscellaneous

arXiv:2203.13818, 2022.

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M. Aehle, J. Alme, G. Barnaföldi, J. Blühdorn, T. Bodova, V. Borshchov, A. van den Brink, M. Chaar, V. Eikeland, G. Feofilov, C. Garth, N.R. Gauger, et al.

Derivatives in Proton CT Miscellaneous

arXiv: 2202.05551v1, 2022.

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O. Burghardt, P. Gomes, T. Kattmann, T. Economon, N.R. Gauger, R. Palacios

Discrete adjoint methodology for general multiphysics problems Journal Article

In: Structural and Multidisciplinary Optimization, vol. 65, no. 28, 2022.

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252 entries « 1 of 7 »