Zobrazeno 1 - 10
of 1 149
pro vyhledávání: '"Kraus, Michael A"'
Fluid dynamics plays a crucial role in various multiphysics applications, including energy systems, electronics cooling, and biomedical engineering. Developing computational models for complex coupled systems can be challenging and time-consuming. In
Externí odkaz:
http://arxiv.org/abs/2410.00009
We present a novel family of particle discretisation methods for the nonlinear Landau collision operator. We exploit the metriplectic structure underlying the Vlasov-Maxwell-Landau system in order to obtain disretisation schemes that automatically pr
Externí odkaz:
http://arxiv.org/abs/2404.18432
Two of the many trends in neural network research of the past few years have been (i) the learning of dynamical systems, especially with recurrent neural networks such as long short-term memory networks (LSTMs) and (ii) the introduction of transforme
Externí odkaz:
http://arxiv.org/abs/2312.11166
Autor:
Brantner, Benedikt, Kraus, Michael
Many applications, such as optimization, uncertainty quantification and inverse problems, require repeatedly performing simulations of large-dimensional physical systems for different choices of parameters. This can be prohibitively expensive. In ord
Externí odkaz:
http://arxiv.org/abs/2312.10004
Neural Image Classifiers are effective but inherently hard to interpret and susceptible to adversarial attacks. Solutions to both problems exist, among others, in the form of counterfactual examples generation to enhance explainability or adversarial
Externí odkaz:
http://arxiv.org/abs/2310.00761
Collisions are an important dissipation mechanism in plasmas. In one-dimensional modelling, a commonly used collision operator is the Lenard-Bernstein operator, or its modified energy- and momentum-conserving counterpart. When approximating such oper
Externí odkaz:
http://arxiv.org/abs/2309.16894
We present a metriplectic formulation of the radiative transfer equation with polarization and varying refractive index and show that this formulation automatically satisfies the first two laws of thermodynamics. In particular, the derived antisymmet
Externí odkaz:
http://arxiv.org/abs/2301.07576
Autor:
Balmer, Vera M., Kuhn, Sophia V., Bischof, Rafael, Salamanca, Luis, Kaufmann, Walter, Perez-Cruz, Fernando, Kraus, Michael A.
Publikováno v:
Automation in Construction Volume 163, July 2024, 105411
For conceptual design, engineers rely on conventional iterative (often manual) techniques. Emerging parametric models facilitate design space exploration based on quantifiable performance metrics, yet remain time-consuming and computationally expensi
Externí odkaz:
http://arxiv.org/abs/2211.16406
This work proposes, implements and tests an immersive framework upon Virtual Reality (VR) for comprehension, knowledge development and learning process assisting an improved perception of complex spatial arrangements in AEC in comparison to the tradi
Externí odkaz:
http://arxiv.org/abs/2209.10617
This paper deals with the control of parasitism in variational integrators for degenerate Lagrangian systems by writing them as general linear methods. This enables us to calculate their parasitic growth parameters which are responsible for the loss
Externí odkaz:
http://arxiv.org/abs/2202.01083