@article{64978,
  abstract     = {{The degrees of freedom (DoFs) of light determine the maximum number of independent signal
channels an optical system can support. However, the polarization DoF is intrinsically limited to two by
orthogonality, which causes unavoidable crosstalk and often forces position multiplexing, where different
channels are assigned to distinct spatial locations to suppress crosstalk. This research introduces a multilayer
synchronous polarization projection method that fundamentally increases the DoF for polarization
multiplexing. The DoF equals twice the number of projection layers. We experimentally demonstrate six-
channel polarization multiplexing holography without position multiplexing. The six-channel multiplexing
results indicate that our approach exceeds the conventional polarization multiplexing method, yielding an
average 3.79 dB improvement in extinction ratio across the six channels. Compared with the theoretical
limit of traditional polarization multiplexing, our method reduces crosstalk by an average of 6.52 dB across
all channels in a seven-channel design. The polarization projection method breaks the DoF limitation
of polarization multiplexing, opening a path toward high-dimensional photonic information encoding for
communication, encryption, and imaging.}},
  author       = {{Jin, Xiao and Zentgraf, Thomas}},
  issn         = {{2577-5421}},
  journal      = {{Advanced Photonics}},
  number       = {{02}},
  publisher    = {{SPIE-Intl Soc Optical Eng}},
  title        = {{{Increasing the design degree of freedom for polarization through multilayer synchronous polarization projection}}},
  doi          = {{10.1117/1.ap.8.2.026010}},
  volume       = {{8}},
  year         = {{2026}},
}

@article{65037,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
                  <jats:p>Homogenization methods simulate heterogeneous materials like composites effectively, but high computational demands can offset their benefits. This work balances accuracy and efficiency by assessing model and discretization errors of the finite element method (FEM) through an adaptive numerical scheme. Two model hierarchies are introduced, combining mean‐field and full‐field methods, and nonuniform transformation field analysis (NTFA) with full‐field methods. Both hierarchies use a full‐field FEM solution of the representative volume element (RVE) as reference. The study highlights the benefits of using effective constitutive equations from mean‐field and full‐field methods as well as NTFA methods, with a goal‐oriented a posteriori error estimator based on duality techniques controlling mesh and model errors in a forwards‐in‐time manner.</jats:p>}},
  author       = {{Simeu, Arnold Tchomgue and Caylak, Ismail and Ostwald, Richard}},
  issn         = {{0029-5981}},
  journal      = {{International Journal for Numerical Methods in Engineering}},
  number       = {{6}},
  publisher    = {{Wiley}},
  title        = {{{Mesh and Model Adaptivity for Multiscale Elastoplastic Models With Prandtl‐Reuss Type Material Laws}}},
  doi          = {{10.1002/nme.70294}},
  volume       = {{127}},
  year         = {{2026}},
}

@inbook{65061,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>
                    One of the purposes for which XAI is often brought into play is to enable a user to act responsibly. However, responsibility is a complex normative and social phenomenon that we unfold in this chapter. We consider that the classical concepts of agency and responsibility do not fully capture what is needed for meaningful collaboration between human users and XAI. Advocating the perspective of sXAI, we argue that the growing adaptivity of AI systems will result in sXAI being considered as partners. Both partners adopt particular (dialogical) roles within a collaborative process and take responsibility for them. We expect that these roles lead to reactive attitudes toward the sXAI on the side of the human partners that make these roles relational. They resemble those reactive attitudes that we hold toward other human agents. For agents to exercise their responsibility, they need to possess agential capacities to fulfill their role with respect to the structure of a social interaction. Hence, sXAI can be expected to act responsibly. But because of XAI’s limited normative capacities, it might rather act as a marginal agent. We refer to marginal agents and show they can be scaffolded with regard to their agential capacities and their knowledge about the structure of a social interaction. The structure links the actions of the partners to each other in terms of a set of stimuli and responses to it in pursuit of a particular goal. Hence, it is important to differentiate between the different goals that a structure can impose for exercising responsibility. Therefore, we follow (Responsibility from the margins. Oxford University Press; 2015.
                    <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://doi.org/10.1093/acprof:oso/9780198715672.24001.0001" ext-link-type="uri">https://doi.org/10.1093/acprof:oso/9780198715672.24001.0001</jats:ext-link>
                    ) and offer three structures that can help to organize responsibility for
                    <jats:italic>decisions made</jats:italic>
                    with the assistance of AI systems. These structures are attributability, answerability, and accountability. Our insights will inform the development and design process of XAI to meet the guiding principles of responsible research and innovation as well as trustworthy AI.
                  </jats:p>}},
  author       = {{Rohlfing, Katharina J. and Alpsancar, Suzana and Schulte, Carsten}},
  booktitle    = {{Social Explainable AI}},
  isbn         = {{9789819652891}},
  pages        = {{157--177}},
  publisher    = {{Springer Nature Singapore}},
  title        = {{{Responsibilities in sXAI}}},
  doi          = {{10.1007/978-981-96-5290-7_9}},
  year         = {{2026}},
}

@inbook{65063,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>
                    This chapter critically examines how social explainable AI (sXAI) can better support AI practitioners in ensuring fairness in AI-based decision-making. We argue for a fundamental shift: Fairness should be understood not as a technical property or an information problem, but as a matter of vulnerability—focusing on the real-world impacts of AI on individuals and groups, especially those most at risk. Hereby, we call for a shift in perspective: from fair AI to
                    <jats:italic>tasking AI fairly</jats:italic>
                    . To motivate our vulnerability approach, we review the “Dutch welfare fraud scandal” (system risk indication—SyRI) and current challenges in the field of fair AI/machine learning (ML). Vulnerability of a person or members of a definable group of persons is a complex relational notion, and not a technical property of a technical system. Accordingly, we suggest several nontechnical strategies that hold the promise to compensate for the insufficiency of purely technical approaches to fairness and other ethical issues in the practical use of AI-based systems. To discuss how sXAI, due to its interactive and adaptive social character, might better fulfill this role than current XAI techniques, we provide a toy scenario for how sXAI might support the virtuous AI practitioner in an ethical inquiry. Finally, we also address challenges and limits of our approach.
                  </jats:p>}},
  author       = {{Alpsancar, Suzana and Stamboliev, Eugenia}},
  booktitle    = {{Social Explainable AI}},
  isbn         = {{9789819652891}},
  pages        = {{557--581}},
  publisher    = {{Springer Nature Singapore}},
  title        = {{{Tasking AI Fairly. How to Empower AI Practitioners With sXAI?}}},
  doi          = {{10.1007/978-981-96-5290-7_29}},
  year         = {{2026}},
}

@inbook{65064,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>XAI can minimize the risks of being manipulated and deceived by AI but in turn entails other specific risks. This also applies to sXAI, and the specifically social character of sXAI harbors particular risks that designers and developers should be aware of. In this chapter, we shall discuss the potential opportunities and risks of sXAI. We see a particularly positive potential in the social character of sXAI, which lies in the fact that skillful users, including those with “healthy distrust,” can use the adaptivity of sXAI to produce an explanation that is actually relevant and adequate for them. However, this requires a high level of skills on the part of the user and is thus in contrast to the general promise of efficiency in the use of AI. A potential risk of XAI is that it can be (even more) persuasive, as the interactive involvement and the anthropomorphism strengthen a trustworthy appearance/performance (independent of the adequacy of the sXAI performance).</jats:p>}},
  author       = {{Alpsancar, Suzana and Klenk, Michael}},
  booktitle    = {{Social Explainable AI}},
  isbn         = {{9789819652891}},
  pages        = {{583--616}},
  publisher    = {{Springer Nature Singapore}},
  title        = {{{The Risk of Manipulation and Deception in sXAI}}},
  doi          = {{10.1007/978-981-96-5290-7_30}},
  year         = {{2026}},
}

@inbook{62709,
  author       = {{Reijers, Wessel and Alpsancar, Suzana}},
  booktitle    = {{Social explainable AI. Communications of NII Shonan Meetings}},
  editor       = {{Rohlfing, Katharina and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten}},
  pages        = {{179--195}},
  publisher    = {{Springer}},
  title        = {{{Values and Norms in sXAI}}},
  year         = {{2026}},
}

@book{65065,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>This introduction sets the stage for the present book. Whereas research in eXplainable AI (XAI) is motivated by societal changes and values, technology development largely ignores social aspects. This book aims to address this research gap with a systematic and comprehensive social view on explainable AI. Besides introducing many relevant concepts, the book offers first access to their possible implementation, thus advancing the development of more social XAI. The introduction starts by connecting the topic to the general research field of XAI. The second part defines the novel approach of social eXplainable AI (sXAI) along the three characteristics of social interaction such as patternedness, incrementality, and multimodality. Finally, the third part explains the structure followed by each chapter. The book offers insights not only for readers who work on technology development but also for those working in sociotechnical fields. Addressing an interdisciplinary readership, the book is an invitation for more exchange and further development of the sXAI field.</jats:p>}},
  editor       = {{Rohlfing, Katharina J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten}},
  isbn         = {{9789819652891}},
  publisher    = {{Springer Nature Singapore}},
  title        = {{{Social Explainable AI}}},
  doi          = {{10.1007/978-981-96-5290-7_1}},
  year         = {{2026}},
}

@article{65093,
  author       = {{Marten, Thorsten and Ostermann, Moritz and Behm, Jonathan and Leitenmaier, Samuel}},
  issn         = {{21991944}},
  journal      = {{Berufsbildung - Zeitschrift für Theorie-Praxis-Dialog}},
  number       = {{1}},
  pages        = {{23--27}},
  publisher    = {{wbv Publikation}},
  title        = {{{NeMo.bil - Individualisierter öffentlicher Personennahverkehr - iÖV}}},
  doi          = {{10.3278/BB2601}},
  volume       = {{209}},
  year         = {{2026}},
}

@inproceedings{65101,
  abstract     = {{Various methods to measure the dynamic behavior of particles require the calculation of autocorrelation functions. For this purpose, fast multi-tau correlators have been developed in dedicated hardware, in software, and on FPGAs. However, for methods such as X-ray Photon Correlation Spectroscopy (XPCS), which requires to calculate the autocorrelation function independently for hundreds of thousands to millions of pixels from high-resolution detectors, current approaches rely on offline processing after data acquisition. Moreover, the internal pipeline state of so many independent correlators is far too large to keep it on-chip. In this work, we propose a design approach on FPGAs, where pipeline contexts are stored in off-chip HBM memory. Each compute unit iteratively loads the state for a single pixel, processes a short time series for this pixel, and afterwards writes back the context in a dataflow pipeline. We have implemented the required compute kernels with Vitis HLS and analyze resulting designs on an Alveo U280 card. The design achieves the expected performance and for the first time provides sufficient throughput for current high-end detectors used in XPCS.}},
  author       = {{Tareen, Abdul Rehman and Plessl, Christian and Kenter, Tobias}},
  booktitle    = {{2025 International Conference on Field Programmable Technology (ICFPT)}},
  publisher    = {{IEEE}},
  title        = {{{Fast Multi-Tau Correlators on FPGA with Context Switching From and to High- Bandwidth Memory}}},
  doi          = {{10.1109/icfpt67023.2025.00027}},
  year         = {{2026}},
}

@article{65094,
  abstract     = {{<jats:p>
                    The development of practical sensors for optical coherence tomography (OCT) with undetected photons requires miniaturization via integration. To be practical, these sensors must exhibit a large spectral bandwidth and a high brightness, which are linked to a high axial resolution and a sufficient signal-to-noise ratio, respectively. Here, we combine these requirements in a scheme for OCT measurements with undetected photons based on nonlinear
                    <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline">
                      <a:mi>Ti</a:mi>
                      <a:mo>:</a:mo>
                      <a:msub>
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                          <a:mi>Li</a:mi>
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                          <a:mi mathvariant="normal">O</a:mi>
                        </a:mrow>
                        <a:mn>3</a:mn>
                      </a:msub>
                    </a:math>
                    waveguides. We investigate the performance benchmarks of the commonly used SU(1,1) scheme in comparison to an induced-coherence scheme and find that the latter is actually better suited when implementing measurements with undetected photons in integrated systems. In both schemes, we perform pump-gain optimization and OCT measurements with undetected photons with an axial resolution as low as
                    <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline">
                      <d:mn>28</d:mn>
                      <d:mspace width="0.2em"/>
                      <d:mtext fontfamily="times">μ</d:mtext>
                      <d:mrow>
                        <d:mi mathvariant="normal">m</d:mi>
                      </d:mrow>
                    </d:math>
                    .
                  </jats:p>}},
  author       = {{Roeder, Franz and Pollmann, René and Quiring, Viktor and Eigner, Christof and Brecht, Benjamin and Silberhorn, Christine}},
  issn         = {{2331-7019}},
  journal      = {{Physical Review Applied}},
  number       = {{3}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Toward integrated sensors for optimized optical coherence tomography with undetected photons}}},
  doi          = {{10.1103/cwsx-42c4}},
  volume       = {{25}},
  year         = {{2026}},
}

@article{65096,
  abstract     = {{<jats:p>
                    Precise measurements of both the arrival time and carrier frequency of light pulses are essential for time–frequency-encoded quantum technologies. Quantum mechanics, however, imposes fundamental limits on the simultaneous determination of these quantities. In this work, we derive and experimentally verify the quantum uncertainty bounds governing joint time–frequency measurements. We show that when detection is restricted to finite time windows, the problem is naturally described by a quantum rotor, rendering the commonly used Heisenberg uncertainty relation inapplicable. We further propose an optimal detection scheme that saturates these fundamental limits. By sampling the
                    <jats:italic toggle="yes">Q</jats:italic>
                    -function, we demonstrate the reconstruction of the Wigner function beyond the harmonic oscillator. Using an experimental implementation based on a quantum pulse gate, we confirm that the proposed scheme approaches the ultimate quantum limit for simultaneous time–frequency measurements. These results provide a framework for joint time–frequency detection with direct implications for precision measurements and quantum information processing.
                  </jats:p>}},
  author       = {{Folge, Patrick Fabian and Serino, Laura Maria and Mišta, Ladislav and Brecht, Benjamin and Silberhorn, Christine and Řeháček, Jaroslav and Hradil, Zdeněk}},
  issn         = {{2334-2536}},
  journal      = {{Optica}},
  number       = {{3}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Quantum-limited detection of the arrival time and the carrier frequency of time-dependent signals}}},
  doi          = {{10.1364/optica.579459}},
  volume       = {{13}},
  year         = {{2026}},
}

@article{63451,
  abstract     = {{<jats:p>Superconducting nanowire single-photon detectors (SNSPDs) can enable photon-number resolution (PNR) based on accurate measurements of the detector’s response time to few-photon optical pulses. In this work, we investigate the impact of the optical pulse shape and duration on the accuracy of this method. We find that Gaussian temporal pulse shapes yield cleaner arrival-time histograms and, thus, more accurate PNR, compared to bandpass-filtered pulses of equal bandwidth. For low system jitter and an optical pulse duration comparable to the other jitter contributions, photon numbers can be discriminated in our system with a commercial SNSPD. At 60 ps optical pulse duration, photon-number discrimination is significantly reduced. Furthermore, we highlight the importance of using the correct arrival-time histogram model when analyzing photon-number assignment. Using exponentially modified Gaussian distributions, instead of the commonly used Gaussian distributions, we can more accurately determine photon-number misidentification probabilities. Finally, we reconstruct the positive operator-valued measures of the detector, revealing sharp features that indicate the intrinsic PNR capabilities.</jats:p>}},
  author       = {{Schapeler, Timon and Mischke, Isabell and Schlue, Fabian and Stefszky, Michael and Brecht, Benjamin and Silberhorn, Christine and Bartley, Tim}},
  issn         = {{2835-0103}},
  journal      = {{APL Quantum}},
  number       = {{1}},
  publisher    = {{AIP Publishing}},
  title        = {{{Practical considerations for assignment of photon numbers with SNSPDs}}},
  doi          = {{10.1063/5.0304127}},
  volume       = {{3}},
  year         = {{2026}},
}

@article{65095,
  abstract     = {{<jats:p>
                    We provide experimental validation of tight entropic uncertainty relations for the Shannon entropies of observables with mutually unbiased eigenstates in high dimensions. In particular, we address the cases of dimensions
                    <a:math xmlns:a="http://www.w3.org/1998/Math/MathML">
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                        <a:mi>d</a:mi>
                        <a:mo>=</a:mo>
                        <a:mn>3</a:mn>
                      </a:mrow>
                    </a:math>
                    , 4, and 5 and consider from 2 to
                    <b:math xmlns:b="http://www.w3.org/1998/Math/MathML">
                      <b:mrow>
                        <b:mi>d</b:mi>
                        <b:mo>+</b:mo>
                        <b:mn>1</b:mn>
                      </b:mrow>
                    </b:math>
                    mutually unbiased bases. The experiment is based on pulsed frequency bins measured with a multioutput quantum pulse gate, which can perform projective measurements on a complete high-dimensional basis in the time-frequency domain. Our results fit the theoretical predictions: the bound on the sum of the entropies is never violated and is saturated by the states that minimize the uncertainty relations.
                  </jats:p>}},
  author       = {{Serino, Laura Maria and Chesi, Giovanni and Brecht, Benjamin and Maccone, Lorenzo and Macchiavello, Chiara and Silberhorn, Christine}},
  issn         = {{2469-9926}},
  journal      = {{Physical Review A}},
  number       = {{3}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Experimental entropic uncertainty relations in dimensions three to five}}},
  doi          = {{10.1103/f6c4-jtlc}},
  volume       = {{113}},
  year         = {{2026}},
}

@article{65266,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
                  <jats:p>This work is concerned with the modeling of a cold‐box sand, a composition of sand grains and a resin binder. To this end, experiments are performed, which show the following characteristics: localization phenomena in the form of a shear band, softening behavior in the force‐displacement curve, and asymmetric behavior for compression and tension. To model this complex material behavior, a micromorphic continuum is used. In the present contribution, we focus on the linear‐elastic regime and demonstrate the identifiability of micromorphic material parameters under deliberately induced inhomogeneous deformation states. In addition to the degrees of freedom of a classical continuum, the micromorphic model has additional degrees of freedom, introduced here in a phenomenological sense to represent kinematically enriched deformation modes associated with the granular microstructure. Accordingly, the micromorphic fields are not interpreted as a separate physical scale (e.g., “binder” vs. “grains”), but as an effective continuum description at the specimen scale. This contribution addresses parameter identification for a micromorphic model of cold‐box sand, with a clear separation between homogeneous deformation states governing classical elastic parameters and inhomogeneous states required to activate and identify micromorphic length‐scale parameters. The main challenge lies in identifying the micro material parameters. To determine these, the corresponding gradient terms in the constitutive formulation must be triggered via properly tuned experiments. Micro‐parameter identification is demonstrated using synthetic data generated from a boundary‐value problem with inhomogeneous displacement fields. The chosen benchmark enables controlled activation of gradient terms and thereby renders optimization‐based identification of micromorphic parameters feasible. The synthetic example is deliberately chosen to assess feasibility and identifiability under controlled conditions, thereby isolating micromorphic identifiability aspects from experimental uncertainties. The novelty of the contribution lies in explicitly linking micromorphic parameter identifiability to kinematic inhomogeneity, and in demonstrating this link within a tractable forward– inverse setting for a linear‐elastic micromorphic continuum.</jats:p>}},
  author       = {{Börger, Alexander and Mahnken, Rolf and Caylak, Ismail and Ostwald, Richard}},
  issn         = {{1617-7061}},
  journal      = {{Proceedings in Applied Mathematics and Mechanics}},
  number       = {{2}},
  publisher    = {{Wiley}},
  title        = {{{Aspects of Parameter Identification for a Micromorphic Continuum applied to a Cold‐Box Sand}}},
  doi          = {{10.1002/pamm.70093}},
  volume       = {{26}},
  year         = {{2026}},
}

@inproceedings{65357,
  author       = {{Kim, Minjun and Devaraj, Vasanthan and Seo, Hyeon-Seok and Eom, Seongjae and Lee, Jeong-Su and Lee, Donghan and Zentgraf, Thomas and Lee, Jong-Min and Jeon, Min Yong}},
  booktitle    = {{Quantum Sensing and Nano Electronics and Photonics XXII}},
  editor       = {{Razeghi, Manijeh and Khodaparast, Giti A. and Vitiello, Miriam S.}},
  publisher    = {{SPIE}},
  title        = {{{Fabrication of uniform, high-field-enhanced plasmonic satellite clusters using multidewetting}}},
  doi          = {{10.1117/12.3095416}},
  year         = {{2026}},
}

@article{65460,
  abstract     = {{Beamsplitters represent fundamental components in both classical and quantum optical systems, enabling the distribution of light, as well as the generation of interference, superposition, and entanglement. However, optical networks constructed from conventional bulk 2 × 2-beamsplitters encounter inherent scalability issues, as the number of required beamsplitters scales quadratically with the number of optical modes for a fully connected network. Metasurfaces offer a promising route to
overcome these constraints. By manipulating light at the wavelength scale, compact optical components with advanced functionalities can be constructed, which address several modes simultaneously. In this work, we design and experimentally utilize a metasurface as a multiport beamsplitter. Furthermore, we realized a multimode interferometer composed of two cascaded metasurfaces. We characterize the individual and cascaded metasurfaces by using classical light, showing controllable splitting ratios through tunable phase relations. We then expand the approach to quantum light, employing single photons to demonstrate second- and third-order photon correlations as well as single photon interference across multiple spatial paths. These results establish metasurface-based multiport beamsplitters as a scalable and reconfigurable platform bridging classical and quantum photonics. }},
  author       = {{Aschwanden, Rebecca and Claro-Rodríguez, Nicolás and Zhao, Ruizhe and Kallert, Patricia Anna Maria and Krieger, Tobias and Buchinger, Quirin and Covre da Silva, Saimon F. and Stroj, Sandra and Rota, Michele and Höfling, Sven and Huber-Loyola, Tobias and Rastelli, Armando and Trotta, Rinaldo and Huang, Lingling and Bartley, Tim and Jöns, Klaus and Zentgraf, Thomas}},
  issn         = {{2330-4022}},
  journal      = {{ACS Photonics}},
  keywords     = {{metasurface, beamsplitter, interferometer, quantum network, single photons, nanophotonics}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Cascaded Metasurface Interferometer for Multipath Interference with Classical and Quantum Light}}},
  doi          = {{10.1021/acsphotonics.6c00096}},
  year         = {{2026}},
}

@article{65316,
  abstract     = {{Metasurfaces are powerful tools for manipulating light using small structures on the nanoscale. In most metasurfaces, near-field couplings are treated as being unfavorable perturbations. Here, we experimentally investigate a structure consisting of sinusoidally modulated silicon waveguides where near-field coupling of local resonances leads to negative coupling, i.e., a negative coupling constant. This gives rise to wave-vector-dependent eigenstates of elliptical, linear, and circular polarizations. In particular, fully circular polarization states are not only present at a single point in momentum space (k-space) but also along a line. This circular polarization line, as well as a linear polarization line, emanates from a polarization degeneracy at the Dirac point. We experimentally validate the existence of these eigenstates and demonstrate the energy-, polarization-, and wave vector dependence of this metasurface as well as its sensitivity to fabrication tolerances. By tuning the incident k-vector, certain polarization-energy eigenstates are strongly reflected, allowing for uses in angle-tunable polarization filters and light sources.}},
  author       = {{Wetter, Helene and Wingenbach, Jan and Rehberg, Falk and Gao, Wenlong and Schumacher, Stefan and Zentgraf, Thomas}},
  issn         = {{2330-4022}},
  journal      = {{ACS Photonics}},
  keywords     = {{metasurface, waveguides, Dirac point, polarization, negative coupling}},
  pages        = {{2128--2133}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Polarization- and Wave-Vector Selective Optical Metasurface with Near-Field Coupling}}},
  doi          = {{10.1021/acsphotonics.5c02865}},
  volume       = {{13}},
  year         = {{2026}},
}

@article{65458,
  author       = {{Hamdoun, Ayoub and Mahnken, Rolf and Ostwald, Richard}},
  journal      = {{European Journal of Mechanics / A Solids}},
  title        = {{{A gradient-damage model for amorphous glassy polymers: Consistent formulation of viscoplasticity and damage evolution in a micromorphic framework}}},
  doi          = {{https://doi.org/10.1016/j.euromechsol.2026.106137}},
  year         = {{2026}},
}

@inproceedings{61922,
  abstract     = {{We present an extremely simple polynomial-space exponential-time
$(1-\varepsilon)$-approximation algorithm for MAX-k-SAT that is (slightly)
faster than the previous known polynomial-space $(1-\varepsilon)$-approximation
algorithms by Hirsch (Discrete Applied Mathematics, 2003) and Escoffier,
Paschos and Tourniaire (Theoretical Computer Science, 2014). Our algorithm
repeatedly samples an assignment uniformly at random until finding an
assignment that satisfies a large enough fraction of clauses. Surprisingly, we
can show the efficiency of this simpler approach by proving that in any
instance of MAX-k-SAT (or more generally any instance of MAXCSP), an
exponential number of assignments satisfy a fraction of clauses close to the
optimal value.}},
  author       = {{Buhrman, Harry and Gharibian, Sevag and Landau, Zeph and Gall, François Le and Schuch, Norbert and Tamaki, Suguru}},
  booktitle    = {{SIAM Symposium on Simplicity in Algorithms (SOSA)}},
  pages        = {{247--253}},
  title        = {{{A Simpler Exponential-Time Approximation Algorithm for MAX-k-SAT}}},
  year         = {{2026}},
}

@misc{65482,
  author       = {{Hüwel, Fabian}},
  title        = {{{Untersuchung der Einflussfaktoren auf die Recyclingfähigkeit von flammgeschütztem Polyamid 12-Pulver beim selektiven Lasersintern (Studienarbeit)}}},
  year         = {{2026}},
}

