Coordinated Projects

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2024-01-03
09:34
[PUBDB-2024-00025] Journal Article
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Optimal Dirichlet boundary control by Fourier neural operators applied to nonlinear optics
We present an approach for solving optimal boundary control problems of nonlinear optics by using deep learning. For computing high resolution approximations of the solution to the nonlinear wave model, we propose higher order space-time finite element methods in combination with collocation techniques. [...]

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2023-12-05
17:10
arXiv [PUBDB-2023-07546] Preprint/Book
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Statistical guarantees for stochastic Metropolis-Hastings
[arXiv:2310.09335]
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A Metropolis-Hastings step is widely used for gradient-based Markov chain Monte Carlo methods in uncertainty quantification. By calculating acceptance probabilities on batches, a stochastic Metropolis-Hastings step saves computational costs, but reduces the effective sample size. [...]
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2023-11-16
12:07

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2023-10-04
14:37
OpenAccess [PUBDB-2023-06102] Conference Presentation

Transparente Publikationskosten : Ein Metadatenschema zum Austausch von Kostendaten
Österreichischer Bibliothekskongress, InnsbruckInnsbruck, Austria, 2 May 2023 - 5 May 20232023-05-022023-05-05 [10.3204/PUBDB-2023-06102]  GO
Bei der Erfassung von Publikationen richtet sich der Blick bislang auf bibliographische, technische und organisatorische Metadaten. Diese werden von gängigen Datenbanken weitestgehend erfasst und zum Austausch stehen standardisierte Austauschformate zur Verfügung.Durch den Prozess der Open-Access-Transformation stellt sich zusätzlich die Frage, wie Kosten zukünftig sich auf Forschungseinrichtungen verteilen. [...]
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2023-10-02
15:21
[PUBDB-2023-06057] Preprint
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Computing excited states of molecules using normalizing flows
arXiv () [10.48550/ARXIV.2308.16468]  GO
We present a new nonlinear variational framework for simultaneously computing ground and excited states of quantum systems. Our approach is based on approximating wavefunctions in the linear span of basis functions that are augmented and optimized \emph{via} composition with normalizing flows. [...]
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2023-10-02
15:17
[PUBDB-2023-06055] Contribution to a conference proceedings/Contribution to a book
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Vecpar – A Framework for Portability and Parallelization
Computational Science – ICCS 2023 / Mikyška, Jiří (Editor) [https://orcid.org/0000-0001-6017-2259] ; Cham : Springer Nature Switzerland, 2023, Chapter 18 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-35994-1=978-3-031-35995-8 ; doi:10.1007/978-3-031-35995-8
Computational Science – ICCS 2023, 23rd International Conference, PraguePrague, Czech Republic, 3 Jul 2023 - 5 Jul 20232023-07-032023-07-05
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 14073, 253 - 267 () [10.1007/978-3-031-35995-8_18]  GO
Complex particle reconstruction software used by High Energy Physics experiments already pushes the edges of computing resources with demanding requirements for speed and memory throughput, but the future experiments pose an even greater challenge. Although many supercomputers have already reached petascale capacities using many-core architectures and accelerators, numerous scientific applications still need to be adapted to make use of these new resources. [...]

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2023-10-02
15:13
[PUBDB-2023-06054] Conference Presentation
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CTD2022: traccc - GPU Track reconstruction demonstrator for HEP
Connecting the Dots, Princeton, New JerseyPrinceton, New Jersey, USA, 31 May 2022 - 2 Jun 20222022-05-312022-06-02 [10.5281/ZENODO.8119504]  GO
In the future HEP experiments, there will be a significant increase in computing power required for track reconstruction due to the large data size. As track reconstruction is inherently parallelizable, heterogeneous computing with GPU hardware is expected to outperform the conventional CPUs. [...]
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2023-10-02
12:34
arXiv [PUBDB-2023-06047] Preprint
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A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems
[arXiv:2301.06804]
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Embedded digital devices, such as Field-Programmable Gate Arrays (FPGAs) and Systems on Chip (SoCs), are increasingly used in dependable or safety-critical systems. These commodity devices are subject to notable hardware ageing, which makes failures likely when used for an extended time. [...]
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2023-10-02
10:39
[PUBDB-2023-06043] Journal Article
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Benchmark computations of dynamic poroelasticity
We present benchmark computations of dynamic poroelasticity modeling fluid flow in deformable porous media by a coupled hyperbolic–parabolic system of partial differential equations. A challenging benchmark setting and goal quantities of physical interest for this problem are proposed. [...]
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2023-10-02
10:36
arXiv [PUBDB-2023-06042] Preprint
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Optimal Dirichlet Boundary Control by Fourier Neural Operators Applied to Nonlinear Optics
[arXiv:2307.07292]
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We present an approach for solving optimal Dirichlet boundary control problems of nonlinear optics by using deep learning. For computing high resolution approximations of the solution to the nonlinear wave model, we propose higher order space-time finite element methods in combination with collocation techniques. [...]
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