Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Möller, Matthias"'
Autor:
Wulff, Arne, Venkata, Swapan Madabhushi, Chen, Boyang, Feld, Sebastian, Möller, Matthias, Tang, Yinglu
We, the QAIMS lab lab at the Aerospace Faculty of TU Delft, participated as finalists in the Airbus/BMW Quantum Computing Challenge 2024. Stacking sequence retrieval, a complex combinatorial task within a bi-level optimization framework, is crucial f
Externí odkaz:
http://arxiv.org/abs/2411.10303
Publikováno v:
2024 Kleinheubach Conference, Miltenberg, Germany, 2024
We present a hybrid approach combining isogeometric analysis with deep operator networks to solve electromagnetic scattering problems. The neural network takes a computer-aided design representation as input and predicts the electromagnetic field in
Externí odkaz:
http://arxiv.org/abs/2409.20280
Noisy intermediate-scale quantum computers (NISQ) are in their childhood, but showing high promise. One main concern for NISQ machines is their inherent noisiness, as the qubit states are subject to disturbances with each algorithmic operation applie
Externí odkaz:
http://arxiv.org/abs/2407.03970
Benchmarking quantum computers helps to quantify them and bringing the technology to the market. Various application-level metrics exist to benchmark a quantum device at an application level. This paper presents a revised holistic scoring method call
Externí odkaz:
http://arxiv.org/abs/2406.03905
Autor:
Balducci, Giorgio Tosti, Chen, Boyang, Möller, Matthias, Gerritsma, Marc, De Breuker, Roeland
Modeling open hole failure of composites is a complex task, consisting in a highly nonlinear response with interacting failure modes. Numerical modeling of this phenomenon has traditionally been based on the finite element method, but requires to tra
Externí odkaz:
http://arxiv.org/abs/2405.02903
Autor:
Schalkers, Merel A., Möller, Matthias
The past years have seen a surge in quantum algorithms for computational fluid dynamics (CFD). These algorithms have in common that whilst promising a speed-up in the performance of the algorithm, no specific method of measurement has been suggested.
Externí odkaz:
http://arxiv.org/abs/2404.17618
Isogeometric analysis has brought a paradigm shift in integrating computational simulations with geometric designs across engineering disciplines. This technique necessitates analysis-suitable parameterization of physical domains to fully harness the
Externí odkaz:
http://arxiv.org/abs/2403.10284
Autor:
Wulff, Arne, Chen, Boyang, Steinberg, Matthew, Tang, Yinglu, Möller, Matthias, Feld, Sebastian
Publikováno v:
Comput. Methods Appl. Mech. Eng. 432 (2024) 117380
As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of laminated composite materials, which to this day remains a formidable ta
Externí odkaz:
http://arxiv.org/abs/2402.06455
In this report, we present a versatile and efficient preconditioned Anderson acceleration (PAA) method for fixed-point iterations. The proposed framework offers flexibility in balancing convergence rates (linear, super-linear, or quadratic) and compu
Externí odkaz:
http://arxiv.org/abs/2310.04034