Zobrazeno 1 - 10
of 26 877
pro vyhledávání: '"A. Benner"'
Autor:
R. F. Schlenk, D. Weber, J. Krzykalla, T. Kindler, G. Wulf, B. Hertenstein, H. R. Salih, T. Südhoff, J. Krauter, U. Martens, S. Wessendorf, V. Runde, H. J. Tischler, M. Bentz, E. Koller, M. Heuser, F. Thol, A. Benner, A. Ganser, K. Döhner, H. Döhner
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The aim of this randomized clinical trial was to evaluate the impact of all-trans retinoic acid (ATRA) in combination with non-intensive chemotherapy in older unfit patients (> 60 years) with newly diagnosed NPM1-mutated acute myeloid leukem
Externí odkaz:
https://doaj.org/article/83f58ea12fd74494a07f488be779b02c
Material discovery is a cornerstone of modern science, driving advancements in diverse disciplines from biomedical technology to climate solutions. Predicting synthesizability, a critical factor in realizing novel materials, remains a complex challen
Externí odkaz:
http://arxiv.org/abs/2411.12011
We investigate a nonlinear parabolic partial differential equation whose boundary conditions contain a single control input. This model describes a chemical reaction of the type ''$A \to $ product'', occurring in a dispersed flow tubular reactor. The
Externí odkaz:
http://arxiv.org/abs/2411.11550
Publikováno v:
2nd Workshop on Computational Linguistics for Political Text Analysis (CPSS@KONVENS 2022), 47-53
From a monarchy to a democracy, to a dictatorship and back to a democracy -- the German political landscape has been constantly changing ever since the first German national state was formed in 1871. After World War II, the Federal Republic of German
Externí odkaz:
http://arxiv.org/abs/2410.17960
The discrete empirical interpolation method (DEIM) is a well-established approach, widely used for state reconstruction using sparse sensor/measurement data, nonlinear model reduction, and interpretable feature selection. We introduce the tensor t-pr
Externí odkaz:
http://arxiv.org/abs/2410.14519
Numerically solving a large parametric nonlinear dynamical system is challenging due to its high complexity and the high computational costs. In recent years, machine-learning-aided surrogates are being actively researched. However, many methods fail
Externí odkaz:
http://arxiv.org/abs/2410.13376
This paper presents an energy-preserving machine learning method for inferring reduced-order models (ROMs) by exploiting the multi-symplectic form of partial differential equations (PDEs). The vast majority of energy-preserving reduced-order methods
Externí odkaz:
http://arxiv.org/abs/2409.10432
Model reduction is an active research field to construct low-dimensional surrogate models of high fidelity to accelerate engineering design cycles. In this work, we investigate model reduction for linear structured systems using dominant reachable an
Externí odkaz:
http://arxiv.org/abs/2409.03892
Autor:
Khorrami, Mohammad S., Goyal, Pawan, Mianroodi, Jaber R., Svendsen, Bob, Benner, Peter, Raabe, Dierk
The purpose of the current work is the development and comparison of Fourier neural operators (FNOs) for surrogate modeling of the quasi-static mechanical response of polycrystalline materials. Three types of such FNOs are considered here: a physics-
Externí odkaz:
http://arxiv.org/abs/2408.15408
Transient gas network simulations can significantly assist in design and operational aspects of gas networks. Models used in these simulations require a detailed framework integrating various models of the network constituents - pipes and compressor
Externí odkaz:
http://arxiv.org/abs/2406.01164