Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Rüdiger Westermann"'
Publikováno v:
Computers & Graphics. 109:111-120
Publikováno v:
Proceedings of the ACM on Computer Graphics and Interactive Techniques. 5:1-13
Adding motion blur to a scene can help to convey the feeling of speed even at low frame rates. Monte Carlo ray tracing can compute accurate motion blur, but requires a large number of samples per pixel to converge. In comparison, rasterization, in co
Publikováno v:
Computer Graphics Forum. 41:196-211
Despite the potential of neural scene representations to effectively compress 3D scalar fields at high reconstruction quality, the computational complexity of the training and data reconstruction step using scene representation networks limits their
Autor:
Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel, Rüdiger Westermann
Numerical weather prediction models rely on parameterizations for subgrid-scale processes, e.g., for cloud microphysics, which are a well-known source of uncertainty in weather forecasts. Via algorithmic differentiation, which computes the sensitivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1578fd9e07643b7f28dff4c9dab208ff
https://doi.org/10.5194/gmd-2023-27
https://doi.org/10.5194/gmd-2023-27
Publikováno v:
Journal of Mechanical Design, 145(2)
We present a novel dehomogenization approach for the efficient design of high-resolution load-bearing structures. The proposed approach builds upon a streamline-based parametrization of the design domain, using a set of space-filling and evenly space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2cd555687cb47517b5d345fc77ae384
http://resolver.tudelft.nl/uuid:8f3788d8-4501-4f95-86a2-32d3ee19cc42
http://resolver.tudelft.nl/uuid:8f3788d8-4501-4f95-86a2-32d3ee19cc42
Publikováno v:
Artificial Intelligence for the Earth Systems. 2
Numerical simulations in Earth-system sciences consider a multitude of physical parameters in space and time, leading to severe input/output (I/O) bandwidth requirements and challenges in subsequent data analysis tasks. Deep learning–based identifi
Publikováno v:
Volume 2: 42nd Computers and Information in Engineering Conference (CIE).
Density-based topology optimization using global and local volume constraints is a key technique to automatically design lightweight structures. It is known that stiffness optimal structures comprise spatially varying geometric patterns that span mul
Publikováno v:
Computer Graphics Forum (online), 39(3)
We present a visualization technique for 2D stress tensor fields based on the construction of a globally conforming lattice. Conformity ensures that the lattice edges follow the principal stress directions and the aspect ratio of lattice elements rep
Publikováno v:
Structural and Multidisciplinary Optimization, 65(3)
The optimization of porous infill structures via local volume constraints has become a popular approach in topology optimization. In some design settings, however, the iterative optimization process converges only slowly, or not at all even after sev
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce3ab4d98aa93a295b679f62d7e6d1fe
https://doi.org/10.1007/978-3-030-81627-8_15
https://doi.org/10.1007/978-3-030-81627-8_15