@article{51121,
  abstract     = {{<jats:p>DNA origami nanostructures are a powerful tool in biomedicine and can be used to combat drug‐resistant bacterial infections. However, the effect of unmodified DNA origami nanostructures on bacteria is yet to be elucidated. With the aim to obtain a better understanding of this phenomenon, the effect of three DNA origami shapes, i.e., DNA origami triangles, six‐helix bundles (6HBs), and 24‐helix bundles (24HBs), on the growth of Gram‐negative Escherichia coli and Gram‐positive Bacillus subtilis is investigated. These results reveal that while triangles and 24HBs can be used as a source of nutrients by E. coli and thereby promote population growth, their effect is much smaller than that of genomic single‐ and double‐stranded DNA. However, no effect on E. coli population growth is observed for the 6HBs. On the other hand, B. subtilis does not show any significant changes in population growth when cultured with the different DNA origami shapes or genomic DNA. The detailed effect of DNA origami nanostructures on bacterial growth thus depends on the competence signals and uptake mechanism of each bacterial species, as well as the DNA origami shape. This should be considered in the development of antimicrobial DNA origami nanostructures.</jats:p>}},
  author       = {{Garcia-Diosa, Jaime Andres and Grundmeier, Guido and Keller, Adrian}},
  issn         = {{1439-4227}},
  journal      = {{ChemBioChem}},
  keywords     = {{Organic Chemistry, Molecular Biology, Molecular Medicine, Biochemistry}},
  publisher    = {{Wiley}},
  title        = {{{Effect of DNA Origami Nanostructures on Bacterial Growth}}},
  doi          = {{10.1002/cbic.202400091}},
  year         = {{2024}},
}

@article{51104,
  author       = {{Liang, Qian and Ma, Xuekai and Gu, Chunling and Ren, Jiahuan and An, Cunbin and Fu, Hongbing and Schumacher, Stefan and Liao, Qing}},
  journal      = {{Journal of the American Chemical Society (JACS)}},
  title        = {{{Photochemical Reaction Enabling the Engineering of Photonic Spin−Orbit Coupling in Organic-Crystal Optical Microcavities}}},
  doi          = {{10.1021/jacs.3c11373}},
  year         = {{2024}},
}

@misc{51133,
  abstract     = {{In order to standardize spray flame synthesis (SFS) studies, intensive work has been done in recent years on the design of burner types. Thus, in 2019, the so-called SpraySyn1 burner was introduced (SS1), which was subsequently characterized in numerical and experimental studies. Based on this research, a modification of the nozzle design was proposed, which has now been considered in the successor model, SpraySyn2 (SS2). As little is known about the effect of the nozzle adaptation on the particle formation, we operated both burners under identical operating conditions to produce maghemite. The final powder comparison showed that SS2 yielded considerable higher specific surface areas (associated with smaller primary particle sizes), lower polydispersity, and higher phase purity. To obtain further information on the size distributions of aggregates and agglomerates generated by SS2, aerosol samples were extracted by hole in a tube (HIAT) sampling and characterized by scanning mobility particle sizing (SMPS). Samples were extracted along the centerline at different heights above the burner (HAB) above the visible flame tip (>7 cm), and quenching experiments were performed to extract the aerosol samples at different dilution rates. Thereby, it was demonstrated that performing detailed quenching experiments is crucial for obtaining representative HIAT-SMPS data. In particular, agglomerates/aggregate sizes were overestimated by up to ~70 % if samples were not sufficiently diluted. If sufficient dilution was applied, distribution widths and mean particle mobility diameters were determined with high accuracy (sample standard derivation <5 %). Our data suggested the evolution of primary particle sizes was mostly completed <7 cm HAB and it was shown aggregates/agglomerates present above the visible flame were compact in structure (non- fractal). The mean diameter of the particle ensemble grew along the centerline from 6.9 nm (7 cm) to 11.4 nm (15 cm), while distribution widths grew from 1.42 to 1.52.}},
  booktitle    = {{Applications in Energy and Combustion Science}},
  editor       = {{Tischendorf, Ricardo and Massopo, Orlando and Schmid, Hans-Joachim and Pyrmak, Olek and Dupont, Sophie and Fröde, Fabian and Pitsch, Heinz and Kneer, Reinhold}},
  keywords     = {{Flame Spray Pyrolysis, SpraySyn2, Spray flame synthesis, Maghemite nanoparticles, Gas to particle-conversion, Hole in a tube sampling}},
  publisher    = {{Elsevier}},
  title        = {{{Maghemite nanoparticles synthesis via spray flame synthesis and particle characterization by hole in a tube sampling and scanning mobility particle sizing (HIAT-SMPS)}}},
  doi          = {{https://doi.org/10.1016/j.jaecs.2023.100235}},
  year         = {{2024}},
}

@article{51156,
  abstract     = {{Ferroelectric domain wall (DW) conductivity (DWC) can be attributed to two separate mechanisms: (a) the injection/ejection of charge carriers across the Schottky barrier formed at the (metal-)electrode-DW junction and (b) the transport of those charge carriers along the DW. Current-voltage (I-U) characteristics, recorded at variable temperatures from LiNbO3 (LNO) DWs, are clearly able to differentiate between these two contributions. Practically, they allow us to directly quantify the physical parameters relevant to the two mechanisms (a) and (b) mentioned above. These are, for example, the resistance of the DW, the saturation current, the ideality factor, and the Schottky barrier height of the electrode-DW junction. Furthermore, the activation energies needed to initiate the thermally activated electronic transport along the DWs can be extracted. In addition, we show that electronic transport along LNO DWs can be elegantly viewed and interpreted in an adapted semiconductor picture based on a double-diode, double-resistor equivalent-circuit model, the R2D2 model. Finally, our R2D2 model was checked for its universality by successfully fitting the I-U curves of not only z-cut LNO bulk DWs, but equally of z-cut thin-film LNO DWs, and of x-cut thin-film DWs as reported in literature.}},
  author       = {{Zahn, Manuel and Beyreuther, Elke and Kiseleva, Iuliia and Lotfy, Ahmed Samir and McCluskey, Conor J. and Maguire, Jesi R. and Suna, Ahmet and Rüsing, Michael and Gregg, J. Marty and Eng, Lukas M.}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  keywords     = {{General Physics and Astronomy}},
  number       = {{2}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Equivalent-circuit model that quantitatively describes domain-wall conductivity in ferroelectric lithium }}},
  doi          = {{10.1103/physrevapplied.21.024007}},
  volume       = {{21}},
  year         = {{2024}},
}

@unpublished{51160,
  abstract     = {{We rigorously derive novel and sharp finite-data error bounds for highly
sample-efficient Extended Dynamic Mode Decomposition (EDMD) for both i.i.d. and
ergodic sampling. In particular, we show all results in a very general setting
removing most of the typically imposed assumptions such that, among others,
discrete- and continuous-time stochastic processes as well as nonlinear partial
differential equations are contained in the considered system class. Besides
showing an exponential rate for i.i.d. sampling, we prove, to the best of our
knowledge, the first superlinear convergence rates for ergodic sampling of
deterministic systems. We verify sharpness of the derived error bounds by
conducting numerical simulations for highly-complex applications from molecular
dynamics and chaotic flame propagation.}},
  author       = {{Philipp, Friedrich M. and Schaller, Manuel and Boshoff, Septimus and Peitz, Sebastian and Nüske, Feliks and Worthmann, Karl}},
  booktitle    = {{arXiv:2402.02494}},
  title        = {{{Extended Dynamic Mode Decomposition: Sharp bounds on the sample  efficiency}}},
  year         = {{2024}},
}

@article{51221,
  abstract     = {{<jats:p>Charge transfer mechanism in the deprotonation-induced n-type doping of PCBM.</jats:p>}},
  author       = {{Dong, Chuan-Ding and Bauch, Fabian and Hu, Yuanyuan and Schumacher, Stefan}},
  issn         = {{1463-9076}},
  journal      = {{Physical Chemistry Chemical Physics}},
  keywords     = {{Physical and Theoretical Chemistry, General Physics and Astronomy}},
  number       = {{5}},
  pages        = {{4194--4199}},
  publisher    = {{Royal Society of Chemistry (RSC)}},
  title        = {{{Charge transfer in superbase n-type doping of PCBM induced by deprotonation}}},
  doi          = {{10.1039/d3cp05105f}},
  volume       = {{26}},
  year         = {{2024}},
}

@article{51208,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Approximation of subdifferentials is one of the main tasks when computing descent directions for nonsmooth optimization problems. In this article, we propose a bisection method for weakly lower semismooth functions which is able to compute new subgradients that improve a given approximation in case a direction with insufficient descent was computed. Combined with a recently proposed deterministic gradient sampling approach, this yields a deterministic and provably convergent way to approximate subdifferentials for computing descent directions.</jats:p>}},
  author       = {{Gebken, Bennet}},
  issn         = {{0926-6003}},
  journal      = {{Computational Optimization and Applications}},
  keywords     = {{Applied Mathematics, Computational Mathematics, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A note on the convergence of deterministic gradient sampling in nonsmooth optimization}}},
  doi          = {{10.1007/s10589-024-00552-0}},
  year         = {{2024}},
}

@misc{17740,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{The Stanford Encyclopedia of Philosophy, first published Sep 4, 2009, substantive revision Feb 2, 2024}},
  editor       = {{Zalta, Edward N.. and Nodelman, Uri}},
  title        = {{{Leibniz’s Influence on 19th Century Logic}}},
  year         = {{2024}},
}

@article{51339,
  author       = {{Babai-Hemati, Jonas and vom Bruch, Felix and Herrmann, Harald and Silberhorn, Christine}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  keywords     = {{Atomic and Molecular Physics, and Optics}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Tailored second harmonic generation inTi-diffused PPLN waveguides usingmicro-heaters}}},
  doi          = {{10.1364/oe.510319}},
  year         = {{2024}},
}

@article{51519,
  author       = {{Cui, Tie Jun and Zhang, Shuang and Alu, Andrea and Wegener, Martin and Pendry, John and Luo, Jie and Lai, Yun and Wang, Zuojia and Lin, Xiao and Chen, Hongsheng and Chen, Ping and Wu, Rui-Xin and Yin, Yuhang and Zhao, Pengfei and Chen, Huanyang and Li, Yue and Zhou, Ziheng and Engheta, Nader and Asadchy, V. S. and Simovski, Constantin and Tretyakov, Sergei A and Yang, Biao and Campbell, Sawyer D. and Hao, Yang and Werner, Douglas H and Sun, Shulin and Zhou, Lei and Xu, Su and Sun, Hong-Bo and Zhou, Zhou and Li, Zile and Zheng, Guoxing and Chen, Xianzhong and Li, Tao and Zhu, Shi-Ning and Zhou, Junxiao and Zhao, Junxiang and Liu, Zhaowei and Zhang, Yuchao and Zhang, Qiming and Gu, Min and Xiao, Shumin and Liu, Yongmin and Zhang, Xiaoyu and Tang, Yutao and Li, Guixin and Zentgraf, Thomas and Koshelev, Kirill and Kivshar, Yuri S. and Li, Xin and Badloe, Trevon and Huang, Lingling and Rho, Junsuk and Wang, Shuming and Tsai, Din Ping and Bykov, A. Yu. and Krasavin, Alexey V and Zayats, Anatoly V and McDonnell, Cormac and Ellenbogen, Tal and Luo, Xiangang and Pu, Mingbo and Garcia-Vidal, Francisco J and Liu, Liangliang and Li, Zhuo and Tang, Wenxuan and Ma, Hui Feng and Zhang, Jingjing and Luo, Yu and Zhang, Xuanru and Zhang, Hao Chi and He, Pei Hang and Zhang, Le Peng and Wan, Xiang and Wu, Haotian and Liu, Shuo and Jiang, Wei Xiang and Zhang, Xin Ge and Qiu, Chengwei and Ma, Qian and Liu, Che and Li, Long and Han, Jiaqi and Li, Lianlin and Cotrufo, Michele and Caloz, Christophe and Deck-Léger, Z.-L. and Bahrami, A. and Céspedes, O. and Galiffi, Emanuele and Huidobro, P. A. and Cheng, Qiang and Dai, Jun Yan and Ke, Jun Cheng and Zhang, Lei and Galdi, Vincenzo and Di Renzo, Marco}},
  issn         = {{2515-7647}},
  journal      = {{Journal of Physics: Photonics}},
  keywords     = {{Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials}},
  publisher    = {{IOP Publishing}},
  title        = {{{Roadmap on electromagnetic metamaterials and metasurfaces}}},
  doi          = {{10.1088/2515-7647/ad1a3b}},
  year         = {{2024}},
}

@misc{50816,
  author       = {{Hücker, Lars}},
  title        = {{{Stickstoff basierte Flammschutzmittel für das Lasersintern: Optimierung und Analyse der Recyclingfähigkeit (Studienarbeit)}}},
  year         = {{2024}},
}

@misc{50815,
  author       = {{Schulz, Maurice}},
  title        = {{{Phosphorhaltige Lasersinter-Materialien mit Flammschutzwirkung: Optimierung und Analyse der Recyclingfähigkeit (Studienarbeit)}}},
  year         = {{2024}},
}

@inbook{50812,
  author       = {{Degeling, Jasmin and Haffke, Maren}},
  booktitle    = {{digital:gender - de:mapping affect. Eine spekulative Kartographie}},
  editor       = {{Bee, Julia and Gradinari, Irina and Köppert , Katrin}},
  publisher    = {{Spector}},
  title        = {{{Sorgeprakiken der Online-Rechten – Jordan Petersons Therapeutik des ,Self-Authoring'}}},
  year         = {{2024}},
}

@article{46019,
  abstract     = {{We derive efficient algorithms to compute weakly Pareto optimal solutions for smooth, convex and unconstrained multiobjective optimization problems in general Hilbert spaces. To this end, we define a novel inertial gradient-like dynamical system in the multiobjective setting, which trajectories converge weakly to Pareto optimal solutions. Discretization of this system yields an inertial multiobjective algorithm which generates sequences that converge weakly to Pareto optimal solutions. We employ Nesterov acceleration to define an algorithm with an improved convergence rate compared to the plain multiobjective steepest descent method (Algorithm 1). A further improvement in terms of efficiency is achieved by avoiding the solution of a quadratic subproblem to compute a common step direction for all objective functions, which is usually required in first-order methods. Using a different discretization of our inertial gradient-like dynamical system, we obtain an accelerated multiobjective gradient method that does not require the solution of a subproblem in each step (Algorithm 2). While this algorithm does not converge in general, it yields good results on test problems while being faster than standard steepest descent.}},
  author       = {{Sonntag, Konstantin and Peitz, Sebastian}},
  journal      = {{Journal of Optimization Theory and Applications}},
  publisher    = {{Springer}},
  title        = {{{Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems}}},
  doi          = {{10.1007/s10957-024-02389-3}},
  year         = {{2024}},
}

@unpublished{51334,
  abstract     = {{The efficient optimization method for locally Lipschitz continuous multiobjective optimization problems from [1] is extended from finite-dimensional problems to general Hilbert spaces. The method iteratively computes Pareto critical points, where in each iteration, an approximation of the subdifferential is computed in an efficient manner and then used to compute a common descent direction for all objective functions. To prove convergence, we present some new optimality results for nonsmooth multiobjective optimization problems in Hilbert spaces. Using these, we can show that every accumulation point of the sequence generated by our algorithm is Pareto critical under common assumptions. Computational efficiency for finding Pareto critical points is numerically demonstrated for multiobjective optimal control of an obstacle problem.}},
  author       = {{Sonntag, Konstantin and Gebken, Bennet and Müller, Georg and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{arXiv:2402.06376}},
  title        = {{{A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces}}},
  year         = {{2024}},
}

@misc{51724,
  author       = {{Bablitzka, Nico Janosch and Beimdiek, Janis}},
  title        = {{{Einfluss von Temperatur und Strömungsführung auf die NH3-SCO sowie die NH3-SCR mit Partikeln aus einer Sprayflammensynthese}}},
  year         = {{2024}},
}

@phdthesis{51732,
  author       = {{Richters, Maximilian}},
  title        = {{{Herstellung und Charakterisierung von Wood-Plastic-Composites (WPC) mit einer Matrix aus thermoplastischen Polyurethanen zur Erzeugung einer Holz-WPC-Verbundstruktur }}},
  year         = {{2024}},
}

@article{51737,
  author       = {{Kullmer, Gunter and Weiß, Deborah and Schramm, Britta}},
  issn         = {{0013-7944}},
  journal      = {{Engineering Fracture Mechanics}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{An alternative and robust formulation of the fatigue crack growth rate curve for long cracks}}},
  doi          = {{10.1016/j.engfracmech.2023.109826}},
  volume       = {{296}},
  year         = {{2024}},
}

@inbook{51790,
  author       = {{Richter, Susanne}},
  booktitle    = {{Inklusiver Kinderschutz – Anforderungen, Herausforderungen, Perspektiven}},
  editor       = {{Kieslinger, Daniel and Owsianowski, Judith}},
  isbn         = {{978-3-7841-3666-0}},
  publisher    = {{Lambertus}},
  title        = {{{Herausforderungen in der inklusiven Mädchenarbeit: Begleitforschung der „Inklusiven anonymen Zuflucht“ des Mädchenhaus Bielefeld e.V.}}},
  year         = {{2024}},
}

@article{40171,
  abstract     = {{We present a convolutional framework which significantly reduces the complexity and thus, the computational effort for distributed reinforcement learning control of dynamical systems governed by partial differential equations (PDEs). Exploiting translational equivariances, the high-dimensional distributed control problem can be transformed into a multi-agent control problem with many identical, uncoupled agents. Furthermore, using the fact that information is transported with finite velocity in many cases, the dimension of the agents’ environment can be drastically reduced using a convolution operation over the state space of the PDE, by which we effectively tackle the curse of dimensionality otherwise present in deep reinforcement learning. In this setting, the complexity can be flexibly adjusted via the kernel width or by using a stride greater than one (meaning that we do not place an actuator at each sensor location). Moreover, scaling from smaller to larger domains – or the transfer between different domains – becomes a straightforward task requiring little effort. We demonstrate the performance of the proposed framework using several PDE examples with increasing complexity, where stabilization is achieved by training a low-dimensional deep deterministic policy gradient agent using minimal computing resources.}},
  author       = {{Peitz, Sebastian and Stenner, Jan and Chidananda, Vikas and Wallscheid, Oliver and Brunton, Steven L. and Taira, Kunihiko}},
  journal      = {{Physica D: Nonlinear Phenomena}},
  pages        = {{134096}},
  publisher    = {{Elsevier}},
  title        = {{{Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning}}},
  doi          = {{10.1016/j.physd.2024.134096}},
  volume       = {{461}},
  year         = {{2024}},
}