Publications

293 entries « 1 of 8 »

2026

L. Chen, J. Rottmayer, T. Kortus, E. Özkaya, N.R. Gauger, Y. Ye

Parametric Aerodynamic Shape Optimization with Latent Diffusion Journal Article

In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 156, pp. 295-304, 2026.

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E. Özkaya, N.R. Gauger

Generalized Derivative Enhanced Surrogate Modeling Framework for Aerodynamic Design Optimization Journal Article

In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 156, pp. 338-347, 2026.

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J. Rottmayer, L. Chen, N.R. Gauger

Sobolev Learning for Bayesian Neural Network Assisted Aerodynamic Shape Optimization Journal Article

In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 156, pp. 348-357, 2026.

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M. Sagebaum, N.R. Gauger

Algorithmic Differentiation for Domain-Specific Languages in C++ with Expression Templates Journal Article

In: Proceedings of the 2024 International Conference on Algorithmic Differentiation (AD), pp. 208-221, 2026.

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M. Sagebaum, J. Blühdorn, N.R. Gauger

Copy Optimization for Algorithmic Differentiation Reuse Index Management Strategies Journal Article

In: Proceedings of the 2024 International Conference on Algorithmic Differentiation (AD), pp. 150-165, 2026.

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J. Blühdorn, N.R. Gauger

Local Adjoints for Simultaneous Preaccumulations with Shared Inputs Journal Article

In: Proceedings of the 2024 International Conference on Algorithmic Differentiation (AD), pp. 178-191, 2026.

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M. Sagebaum, N.R. Gauger

Algorithmic differentiation for domain specific languages in C++ with expression templates Miscellaneous

arXiv:2602.15613, 2026.

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M.U.L. Kastor, J. Rottmayer, A. Hundertmark, N.R. Gauger

Parameter conditioned interpretable U-Net surrogate model for data-driven predictions of convection-diffusion-reaction processes Miscellaneous

arXiv:2601.22654, 2026.

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M. Padmanabha, J. Kuhnert, N.R. Gauger, P. Suchde

Boundary treatment algorithms for meshfree RANS turbulence modeling Miscellaneous

arXiv:2601.10661, 2026.

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X.T. Nguyen, L. Chen, T. Dorigo, N.R. Gauger, P. Vischia, F. Nardi, M. Awais, H. Hanif, S. Abbas, R. Kapoor

Differentiable Surrogate for Detector Simulation and Design with Diffusion Models Miscellaneous

arXiv:2601.07859, 2026.

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

Constrained collaborative optimization of charged particle tracking with multi-agent reinforcement learning Journal Article

In: Machine Learning: Science and Technology, 2026.

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

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

In: Journal of Optimization Theory and Applications, vol. 208, no. 63, 2026.

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2025

S.H. Hauck, M. Kabel, N.R. Gauger

Performance Benchmarking of Tensor Trains for Accelerated Quantum-Inspired Homogenization on TPU, GPU, and CPU Architectures Miscellaneous

arXiv:2512.07811, 2025.

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M. Aehle, L. Arsini, R. Belén Barreiro, A. Belias, A. Boldyrev, F. Bury, S. Cebrian, A. Demin, J. Dickinson, J. Donini, T. Dorigo, M. Doro, N. R. Gauger, et al.

Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming Journal Article

In: Reviews in Physics, vol. 13, pp. 100120, 2025.

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L. Kusch, N. Beishuizen, C. Morales Ubal,N.R. Gauger

Adjoint-based multi-point optimization framework for mixing processes applied to a venturi mixer Journal Article

In: Applied Thermal Engineering, vol. 280, iss. 2, no. 128609, 2025.

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J. Blühdorn, N. R. Gauger

Simultaneous Preaccumulations in OpenMP-Parallel Automatic Differentiation Miscellaneous

NHR Conference '25, 2025.

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A. Cappiello, A. Rausa, B. Munguía, D. Divyaprakash, E. van der Weide, E. C. Bunschoten, F. A. van Steen, J. Rottmayer, J. Blühdorn, J. A. Kelly, L. Bachmann, M. Sagebaum, N. A. Beishuizen, O. Burghardt, P. Gomes, R. Khedkar, V. Wani, SU2 Foundation, all SU2 authors

SU2 version 8.3.0 "Harrier" Miscellaneous

2025, (software).

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M. Sagebaum, N. R. Gauger

Adding complex numbers to expression template algorithmic differentiation tools Miscellaneous

arXiv:2508.05371, 2025.

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L. Chen, E. Özkaya, J. Rottmayer, N.R. Gauger, Z. Shen, Y. Ye

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models Miscellaneous

arXiv:2507.23443, 2025.

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T. Dorigo, M. Aehle, C. Arcaro, M. Awais, F. Bergamaschi, J. Donini, M. Doro, N. R. Gauger, R. Izbicki, J. Kieseler, A. Lee, L. Masserano, F. Nardi, R. Rajesh, L. Recabarren Vergara, A. Shen

Toward the end-to-end optimization of the SWGO array layout Journal Article

In: Nuclear Physics B, vol. 1017, pp. 116934, 2025.

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

Reconstruction of proton relative stopping power with a granular calorimeter detector model Journal Article

In: International Journal of Modern Physics A, vol. 40, no. 21, pp. 2542008, 2025.

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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 Journal Article

In: Transactions on Machine Learning Research, 2025, ISSN: 2835-8856.

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N.R. Gauger, A. Linke, C. Merdon

Refined stability estimates for mixed problems by exploiting semi norm arguments Miscellaneous

arXiv:2506.11566, 2025.

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

Forward-Mode Automatic Differentiation of Compiled Programs Journal Article

In: ACM Transactions on Mathematical Software, vol. 51, iss. 2, no. 7, pp. 1-25, 2025.

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R. Pochampalli, N. R. Gauger

Graph neural networks to predict strokes from blood flow simulations Book Chapter

In: Aswin Kannan Konstantin Fackeldey, Sebastian Pokutta; Weiser, Martin (Ed.): pp. 29-40, De Gruyter, Berlin, Boston, 2025.

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T. Dorigo, M. Doro, M. Aehle, M. Awais, N. R. Gauger, R. Izbicki, J. Kieseler, A. B. Lee, L. Masserano, F. Nardi, A. Shen, L. Recabarren Vergara

On the utility function of experiments in fundamental science Journal Article

In: Physics Open, pp. 100270, 2025.

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K. Schmidt, K. N Kota, J. Kieseler, A. De Vita, M. Klute, Abhishek, M. Aehle, M. Awais, A. Breccia, R. Carroccio, L. Chen, T. Dorigo, N. R. Gauger, et al.

End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters Journal Article

In: Particles, vol. 8, iss. 2, 2025.

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

Modeling charge collection in silicon pixel detectors for proton therapy applications Journal Article

In: Biomedical Physics & Engineering Express, vol. 11, no. 3, 2025.

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E. Lupi, Abhishek, M. Aehle, M. Awais, A. Breccia, R. Carroccio, L. Chen, A. Das, A. De Vita, T. Dorigo, N. R. Gauger, R. Keidel, et al.

Neuromorphic Readout for Hadron Calorimeters Journal Article

In: Particles, vol. 8, iss. 2, 2025.

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A. De Vita, Abhishek, M. Aehle, M. Awais, A. Breccia, R. Carroccio, L. Chen, T. Dorigo, N. R. Gauger, R. Keidel, et al.

Hadron Identification Prospects With Granular Calorimeters Journal Article

In: Particles, vol. 8, iss. 2, 2025.

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T. Dorigo, G.D. Brown, C. Casonato, A. Cerdà, J. Ciarrochi, M. Da Lio, N. D’Souza, N.R. Gauger, et al.

Artificial Intelligence in Science and Society: the Vision of USERN Journal Article

In: IEEE Access, 2025.

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

Constrained Optimization of Charged Particle Tracking with Multi-Agent Reinforcement Learning Miscellaneous

arXiv:2501.05113 [physics.comp-ph], 2025.

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

Optimization using pathwise algorithmic derivatives of electromagnetic shower simulations Journal Article

In: Computer Physics Communications, vol. 309, pp. 109491, 2025.

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

Hybrid parallel discrete adjoints in SU2 Journal Article

In: Computers & Fluids, vol. 289, no. 106528, 2025.

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N. Ritjoho, P. Phumara, Y. Buanill, P. Boontueng, A. Songmoolnak, N. Laojamnongwong, L. Charoonratana, T. Sanghangthum, D. Röhrich, A. Schilling, M. Aehle, J. Alme, G.G. Barnaföldi, G. Bíro, T. Bodova, V. Borshchov, A. van den Brink, V. Eikeland, G. Feofilov, C. Garth, N.R. Gauger, et al.

Development of the trigger-controlling system for the proton computed tomography prototype Journal Article

In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 1072, pp. 170125, 2025.

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2024

S.H. Hauck, M. Kabel, M. Ali, N.R. Gauger

SFFT-based Homogenization: Using Tensor Trains to Enhance FFT-Based Homogenization Miscellaneous

arXiv:2412.11566, 2024.

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L. Chen, J. Rottmayer, T. Kortus, E. Özkaya, N.R. Gauger, Y. Ye

Parametric Aerodynamic Shape Optimization with Latent Diffusion Journal Article

In: Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB, pp. 86-87, 2024.

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E. Öykaza, N.R. Gauger

Generalized Derivative Enhanced Surrogate Modeling Framework for Aerodynamic Design Optimization Journal Article

In: Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB, pp. 94-95, 2024.

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J. Rottmayer, L. Chen, E. Özkaya, N.R. Gauger

Sobolev Training for BNN Surrogates in Efficient Global Optimization Journal Article

In: Jahresbericht der Deutschen Strömungsmechanischen Arbeitsgemeinschaft STAB, pp. 96-97, 2024.

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J. Blühdorn, N. R. Gauger

OpenMP-Parallel Discrete Adjoints in SU2 with OpDiLib Miscellaneous

NHR Conference '24, 2024.

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293 entries « 1 of 8 »