@misc{20119,
booktitle = {Applied Sciences},
editor = {Troschitz, Juliane and Vorderbrüggen, Julian and Kupfer, Robert and Gude, Maik and Meschut, Gerson},
publisher = {MDPI},
title = {{Joining of Thermoplastic Composites with Metals Using Resistance Element Welding}},
doi = {10.3390/app10207251},
year = {2020},
}
@book{21566,
author = {Schneider, Martin and Sadowski, Dieter and Frick, Bernd and Warning, Susanne},
publisher = {Schäffer-Poeschel},
title = {{Personalökonomie und Personalpolitik: Grundlagen einer evidenzbasierten Praxis}},
year = {2020},
}
@article{13114,
abstract = {Many basic properties in Tutte's flow theory for unsigned graphs do not have
their counterparts for signed graphs. However, signed graphs without long
barbells in many ways behave like unsigned graphs from the point view of flows.
In this paper, we study whether some basic properties in Tutte's flow theory
remain valid for this family of signed graphs. Specifically let $(G,\sigma)$ be
a flow-admissible signed graph without long barbells. We show that it admits a
nowhere-zero $6$-flow and that it admits a nowhere-zero modulo $k$-flow if and
only if it admits a nowhere-zero integer $k$-flow for each integer $k\geq 3$
and $k \not = 4$. We also show that each nowhere-zero positive integer $k$-flow
of $(G,\sigma)$ can be expressed as the sum of some $2$-flows. For general
graphs, we show that every nowhere-zero $\frac{p}{q}$-flow can be normalized in
such a way, that each flow value is a multiple of $\frac{1}{2q}$. As a
consequence we prove the equality of the integer flow number and the ceiling of
the circular flow number for flow-admissible signed graphs without long
barbells.},
author = {Lu, You and Luo, Rong and Schubert, Michael and Steffen, Eckhard and Zhang, Cun-Quan},
journal = {SIAM J. Discrete Math},
pages = {2166--2187},
title = {{Flows on signed graphs without long barbells}},
doi = {10.1137/18M1222818},
volume = {34 (4)},
year = {2020},
}
@article{16288,
abstract = {We derive a data-driven method for the approximation of the Koopman generator called gEDMD, which can be regarded as a straightforward extension of EDMD (extended dynamic mode decomposition). This approach is applicable to deterministic and stochastic dynamical systems. It can be used for computing eigenvalues, eigenfunctions, and modes of the generator and for system identification. In addition to learning the governing equations of deterministic systems, which then reduces to SINDy (sparse identification of nonlinear dynamics), it is possible to identify the drift and diffusion terms of stochastic differential equations from data. Moreover, we apply gEDMD to derive coarse-grained models of high-dimensional systems, and also to determine efficient model predictive control strategies. We highlight relationships with other methods and demonstrate the efficacy of the proposed methods using several guiding examples and prototypical molecular dynamics problems.},
author = {Klus, Stefan and Nüske, Feliks and Peitz, Sebastian and Niemann, Jan-Hendrik and Clementi, Cecilia and Schütte, Christof},
issn = {0167-2789},
journal = {Physica D: Nonlinear Phenomena},
title = {{Data-driven approximation of the Koopman generator: Model reduction, system identification, and control}},
doi = {10.1016/j.physd.2020.132416},
volume = {406},
year = {2020},
}
@inbook{21915,
author = {Matz, Frauke and Rumlich, Dominik},
booktitle = {KONTROVERS. Literaturdidaktik meets Literaturwissenschaft},
editor = {Grünewald, Andreas and Hethey, Meike and Struve, Karen},
pages = {159--176},
publisher = {Wissenschaftlicher Verlag Trier},
title = {{Englischsprachige Jugendbücher innerhalb und außerhalb des Englischunterrichts – Young Adult Fiction als empirischer Gegenstand der Literaturdidaktik}},
year = {2020},
}
@article{21819,
abstract = {Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator and its generator, but also the Schrödinger operator. We propose a kernel-based method for the approximation of differential operators in reproducing kernel Hilbert spaces and show how eigenfunctions can be estimated by solving auxiliary matrix eigenvalue problems. The resulting algorithms are applied to molecular dynamics and quantum chemistry examples. Furthermore, we exploit that, under certain conditions, the Schrödinger operator can be transformed into a Kolmogorov backward operator corresponding to a drift-diffusion process and vice versa. This allows us to apply methods developed for the analysis of high-dimensional stochastic differential equations to quantum mechanical systems.},
author = {Klus, Stefan and Nüske, Feliks and Hamzi, Boumediene},
issn = {1099-4300},
journal = {Entropy},
title = {{Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator}},
doi = {10.3390/e22070722},
year = {2020},
}
@article{20892,
author = {Bürger, Julius and Riedl, Thomas and Lindner, Jörg K.N.},
issn = {0304-3991},
journal = {Ultramicroscopy},
title = {{Influence of lens aberrations, specimen thickness and tilt on differential phase contrast STEM images}},
doi = {10.1016/j.ultramic.2020.113118},
year = {2020},
}
@article{22235,
author = {Li, Jie and Ji, Chendong and Lü, Baozhong and Rodin, Maksim and Paradies, Jan and Yin, Meizhen and Kuckling, Dirk},
issn = {1944-8244},
journal = {ACS Applied Materials & Interfaces},
pages = {36873--36881},
title = {{Dually Crosslinked Supramolecular Hydrogel for Cancer Biomarker Sensing}},
doi = {10.1021/acsami.0c08722},
year = {2020},
}
@inproceedings{20316,
author = {Krüger, Christopher and Schmolke, Tobias and Merdivan, David and Spohr, Sebastian and Urban, Peter and Meschut, Gerson},
location = {Aachen},
title = {{Concept Development for a Functional Integrated Lightweight Battery Housing with Special Consideration of the Joining Technology}},
year = {2020},
}
@article{22266,
author = {Grabo, Matti and Staggenborg, Christoph and Philippi, Kai Alexander and Kenig, Eugeny},
issn = {2296-598X},
journal = {Frontiers in Energy Research},
title = {{Modeling and Optimization of Rectangular Latent Heat Storage Elements in an Air-Guided Heat Storage System}},
doi = {10.3389/fenrg.2020.571787},
volume = {8},
year = {2020},
}