430 research outputs found

    Adaptive multi-spectral mimicking with 2D-material nanoresonator networks

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    Active nanophotonic materials that can emulate and adapt between many different spectral profiles -- with high fidelity and over a broad bandwidth -- could have a far-reaching impact, but are challenging to design due to a high-dimensional and complex design space. Here, we show that a metamaterial network of coupled 2D-material nanoresonators in graphene can adaptively match multiple complex absorption spectra via a set of input voltages. To design such networks, we develop a semi-analytical auto-differentiable dipole-coupled model that allows scalable optimization of high-dimensional networks with many elements and voltage signals. As a demonstration of multi-spectral capability, we design a single network capable of mimicking four spectral targets resembling select gases (nitric oxide, nitrogen dioxide, methane, nitrous oxide) with very high fidelity (> 90%{>}\,90\%). Our results are relevant for the design of highly reconfigurable optical materials and platforms for applications in sensing, communication and display technology, and signature and thermal management.Comment: 8 pages, 5 figure

    Understanding and Implementation of Case Teaching Method

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    As a kind of teaching method, case teaching method has its own practical value and scope of application. In practice, it mainly consists of some links such as “knowledge preparation”, “case arrangement” and “provoking guidance”. Knowledge preparation could be implemented through a variety of forms and the teaching process that is prepared for analysis has its unique feature. Cases can be selected from the aspects of “event level”, “fact capacity” and “understanding degree”. And they would endow natural events with the educational significance. Setting questions teachers could stimulate students’ interest of analysis. And during the process of analysis, it is supposed to lead students use topic concept to analyze these questions around the cases

    On global ACC for foliated threefolds

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    In this paper, we prove the rational coefficient case of the global ACC for foliated threefolds. Specifically, we consider any lc foliated log Calabi-Yau triple (X,F,B)(X,\mathcal{F},B) of dimension 33 whose coefficients belong to a set Γ\Gamma of rational numbers satisfying the descending chain condition, and prove that the coefficients of BB belong to a finite set depending only on Γ\Gamma. To prove our main result, we introduce the concept of generalized foliated quadruples, which is a mixture of foliated triples and Birkar-Zhang's generalized pairs. With this concept, we establish a canonical bundle formula for foliations in any dimension. As for applications, we extend Shokurov's global index conjecture in the classical MMP to foliated triples and prove this conjecture for threefolds with nonzero boundaries and for surfaces. Additionally, we introduce the theory of rational polytopes for functional divisors on foliations and prove some miscellaneous results.Comment: 22 pages. Add a paragraph on pages 3-4. Proposition 6.4 and Lemma 7.2 strengthened. Small modification of the proof of 8.1. Reference update

    Number of Repetitions in Re-randomization Tests

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    In covariate-adaptive or response-adaptive randomization, the treatment assignment and outcome can be correlated. Under this situation, re-randomization tests are a straightforward and attractive method to provide valid statistical inference. In this paper, we investigate the number of repetitions in the re-randomization tests. This is motivated by the group sequential design in clinical trials, where the nominal significance bound can be very small at an interim analysis. Accordingly, re-randomization tests lead to a very large number of required repetitions, which may be computationally intractable. To reduce the number of repetitions, we propose an adaptive procedure and compare it with multiple approaches under pre-defined criteria. Monte Carlo simulations are conducted to show the performance of different approaches in a limited sample size. We also suggest strategies to reduce total computation time and provide practical guidance in preparing, executing and reporting before and after data are unblinded at an interim analysis, so one can complete the computation within a reasonable time frame

    THE MINIMAL LOG DISCREPANCY AND ITS APPLICATIONS IN BIRATIONAL GEOMETRY

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    In this article, I will discuss some recent results related to the minimal log discrepancies in dimension two and dimension three based on [HLL22] and [HL20]. I will also discuss some of their applications in birational geometry

    Shaping contactless forces through anomalous acoustic scattering

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    Waves impart momentum and exert force on obstacles in their path. The transfer of wave momentum is a fundamental mechanism for contactless manipulation, yet the rules of conventional scattering intrinsically limit the radiation force based on the shape and the size of the manipulated object. Here, we show that this intrinsic limit can be overcome for acoustic waves with subwavelength-structured metasurfaces, where the force becomes controllable by the arrangement of surface features, independent of the object's overall shape and size. Harnessing such anomalous metasurface scattering, we demonstrate complex actuation phenomena: self-guidance, where a metasurface object is autonomously guided by an acoustic wave, and contactless pulling, where a metasurface object is pulled by the wave. Our results show that bringing metasurface physics, and its full arsenal of tools, to the domain of mechanical manipulation opens the door to diverse actuation mechanisms that are beyond the limits of traditional wave-matter interactions
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