
De Gersem
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Jul 18, 2024 |
cds.cern.ch | De Gersem |De Curtis |de Blas |Di Meco
Home > Interim report for the International Muon Collider Collaboration (IMCC) Report numberarXiv:2407.12450TitleInterim report for the International Muon Collider Collaboration (IMCC) If you experience any problem watching the video, click the download button below Author(s) Accettura, C. (CERN) ; Adrian, S. (U. Rostock) ; Agarwal, R. (LBNL, Berkeley) ; Ahdida, C. (CERN) ; Aimé, C. (INFN, Pavia) ; Aksoy, A. (CERN ; Ankara U.) ; Alberghi, G.L. (INFN, Bologna) ; Alden, S.
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Jan 24, 2024 |
arxiv.org | De Gersem
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Jan 24, 2024 |
arxiv.org | De Gersem
arXiv:2401.13355 (cs) Download PDF HTML (experimental) Comments: Subjects: Computational Engineering, Finance, and Science (cs.CE) MSC classes: 35Q61 ACM classes: G.1.8; J.2; G.1.2 Cite as: arXiv:2401.13355 [cs.CE] (or arXiv:2401.13355v1 [cs.CE] for this version) https://doi.org/10.48550/arXiv.2401.13355 Submission history From: Jonas Bundschuh [ view email] [v1] Wed, 24 Jan 2024 10:31:30 UTC (2,780 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle...
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Oct 15, 2023 |
arxiv.org | De Gersem
[Submitted on 15 Oct 2023 ( v1 ), last revised 17 Apr 2024 (this version, v2)] Title:Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification View a PDF of the paper titled Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification, by Dimitrios Loukrezis and 2 other authors View PDF HTML (experimental) Abstract:This work develops a novel...
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Mar 18, 2023 |
cds.cern.ch | De Gersem
Home > Hybrid modeling: towards the next level of scientific computing in engineering TitleHybrid modeling: towards the next level of scientific computing in engineeringAuthor(s)Kurz, Stefan ; De Gersem, Herbert (Darmstadt, Tech. Hochsch.) ; Galetzka, Armin (Darmstadt, Tech. Hochsch.) ; Klaedtke, Andreas ; Liebsch, Melvin (CERN) ; Loukrezis, Dimitrios (Darmstadt, Tech. Hochsch.) ; Russenschuck, Stephan (CERN) ; Schmidt, ManuelImprint12 p. In:J. Math.
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