An optical switch, which enables applications covering logical operation, channel conversion control, has attracted extensive research attentions in on-chip optical communication and network. However, in order to cons...
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An optical switch, which enables applications covering logical operation, channel conversion control, has attracted extensive research attentions in on-chip optical communication and network. However, in order to construct composite logic operations, traditional wavelength selective optical switches that manipulate the effective refractive index of the light field require complex system design, resulting in a large device footprint. Herein, by using unidirectional coupling excited by a chiral polarized light in the valley topological edge, we propose a 1 × 1 optical switch with a triangular resonant cavity design. The valley topological edge is constructed by breaking the spatial-inversion symmetry of hexagonal photonic crystal, and the unidirectional coupling originates from the locked phase vortex associated with the chiral polarized light (left-/right- handed circularly polarized light), which brings an extraordinary on-off contrast for optical switch. Furthermore, we introduce a 2 × 1 optical switch based on the unidirectional coupling characteristic of chiral polarized light, and verify the logic gates of NOR, AND, NAND, XOR, and OR via unidirectional coupling and frequency resonance. Benefiting from the polarization dependent unidirectional coupling characteristic, our 1 × 1 topological photonic crystal optical switch achieves a high on-off contrast of 22.8 dB. By adjusting the cavity length and implementing symmetrical design of the device, five logic gates based on 2 × 1 optical switches are realized, with logical contrasts of 5.9 dB∼19.3 dB and a footprint of less than 14.76 × 12.78 µm2. Compared with traditional thermo-optic or electro-optic intensity control schemes, our proposed polarization conversion strategy opens up what we believe to be a new path and provides a technical foundation for the design of on-chip passive optical networks. This work is expected to leverage the advantages of unidirectional excitation and robustness of topological photonic
Model-free,data-driven prediction of chaotic motions is a long-standing challenge in nonlinear *** by the recent progress in machine learning,considerable attention has been given to the inference of chaos by the tech...
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Model-free,data-driven prediction of chaotic motions is a long-standing challenge in nonlinear *** by the recent progress in machine learning,considerable attention has been given to the inference of chaos by the technique of reservoir computing(RC).In particular,by incorporating a parameter-control channel into the standard RC,it is demonstrated that the machine is able to not only replicate the dynamics of the training states,but also infer new dynamics not included in the training *** new machine-learning scheme,termed parameter-aware RC,opens up new avenues for data-based analysis of chaotic systems,and holds promise for predicting and controlling many real-world complex ***,using typical chaotic systems as examples,we give a comprehensive introduction to this powerful machine-learning technique,including the algorithm,the implementation,the performance,and the open questions calling for further studies.
Aqueous zinc(Zn)-ion batteries(ZIBs) have garnered significant attention as promising energy storage devices,primarily due to their low cost,high power density,and excellent safety ***,the commercial viability of thes...
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Aqueous zinc(Zn)-ion batteries(ZIBs) have garnered significant attention as promising energy storage devices,primarily due to their low cost,high power density,and excellent safety ***,the commercial viability of these batteries is hindered by several issues related to the Zn metal anode,including dendritic growth,hydrogen evolution reaction(HER),surface corrosion,and *** review delves into the root causes and key factors influencing these challenges from both electrochemical thermodynamics and kinetics ***,viable strategies to mitigate these issues are systematically summarized,including Zn anode reconstruction,artificial solid-electrolyte interphase(SEI)protection,electrolyte formulation optimization,and separator *** research advancements are examined thoroughly,with a focus on the mechanisms behind these approaches and the resulting battery *** review also critically assesses the strengths and limitations of these ***,we highlight crucial research directions aimed at advancing the practical application of Zn metal anodes in future aqueous ZIBs.
A flexible random laser with switchable modes and directional emission will advance the application of random lasers in high-quality light sources and photonic integration. In this paper, a fiber-shaped random laser b...
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Zinc oxide (ZnO) nanoparticles doped with Mn were prepared by co-precipitation in the ratio (Mn: ZnO) from 0 to 10 %. The prepared nanoparticles were examined by X-ray Diffraction (XRD), Raman Spectroscopy, and ultrav...
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In the discharge experiments of the HL-2A Tokamak device, plasma position prediction plays a crucial role in aspects such as the closed - loop control of HL-2A and verifying the correctness of the plasma controller de...
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Quantum computers leverage the unique advantages of quantum mechanics to achieve acceleration over classical computers for certain ***,various quantum simulators provide powerful tools for researchers,but simulating q...
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Quantum computers leverage the unique advantages of quantum mechanics to achieve acceleration over classical computers for certain ***,various quantum simulators provide powerful tools for researchers,but simulating quantum evolution with these simulators often incurs high time ***,resource consumption grows exponentially as the number of quantum bits *** address this issue,our research aims to utilize Large Language Models(LLMs)to simulate quantum *** paper details the process of constructing 1-qubit and 2-qubit quantum simulator models,extending to multiple qubits,and ultimately implementing a 3-qubit *** study demonstrates that LLMs can effectively learn and predict the evolution patterns among quantum bits,with minimal error compared to the theoretical output *** when dealing with quantum circuits comprising an exponential number of quantum gates,LLMs remain computationally ***,our results highlight the potential of LLMs to predict the outputs of complex quantum dynamics,achieving speeds far surpassing those required to run the same process on a quantum *** finding provides new insights and tools for applying machine learning methods in the field of quantum computing.
Negative friction refers to a frictional force that acts in the same direction as the motion of an object, which has been predicted in terahertz(THz) gain systems [Phys. Rev. B 108 045406(2023)]. In this work, we inve...
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Negative friction refers to a frictional force that acts in the same direction as the motion of an object, which has been predicted in terahertz(THz) gain systems [Phys. Rev. B 108 045406(2023)]. In this work, we investigate the enhancement of the negative friction experienced by nanospheres placed near a graphene substrate. We find that the magnitude of negative friction is related to the resonant coupling between the surface plasmon polaritons(SPPs) of the graphene and localized surface phonon polaritons(LSPh P) of nanospheres. We exam nanospheres consisted of several different materials, including SiO_(2), Si C, Zn Se, Na Cl, ln Sb. Our results suggest that the LSPh P of Na Cl nanospheres match effectively with the amplified SPPs of graphene sheets. The negative friction for Na Cl nanospheres can be enhanced about one-to-two orders of magnitude compared to that of silica(SiO_(2)) nanospheres. At the resonant peak of negative friction, the required quasi-Fermi energy of graphene is lower for Na Cl nanospheres. Our finds hold great prospects for the mechanical manipulations of nanoscale particles.
Using Azadirachta Indica leaf extract (AILE), the current work describes an environmentally friendly, cost-effective, and energy-efficient technique of producing Mn nano ferrite or AILE@Mn ferrites. These ferrites nan...
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Semiconductor metal oxides with narrow bandgap have emerged as a promising platform for photoelectrochemical reactions, yet their photoelectron-induced photocorrosion effect has been a limitation for their wider appli...
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Semiconductor metal oxides with narrow bandgap have emerged as a promising platform for photoelectrochemical reactions, yet their photoelectron-induced photocorrosion effect has been a limitation for their wider applications. Understanding the conversion processes concomitant with photoelectrochemical reaction at the electrode–electrolyte interface plays a crucial role in revealing the corrosion mechanisms and advancing the development of efficient photocathodes. However, accurately and in situ tracking these dynamic chemical events remains a great challenge due to the fact that reaction processes occur at nanoscale interfaces. Here, we track the electrochemical growth and conversion of copper nanostructures at interface by the evanescent field of the surface plasmon wave by using a gold-coated optical fiber as an electrochemical electrode and light sensing probe. The results exhibit correlation between redox processes of copper species and plasmonic resonances. Furthermore,in situ fiber-optic detection reveals the photocorrosion dynamics under photoelectrochemical reaction, including photoelectron-induced self-reduction of copper oxide and self-oxidation of cuprous oxide. These demonstrations facilitate not only the diagnosis for the health condition of photocathode nanomaterial, but also the understanding of the underlying reaction mechanism, and thus are potentially crucial for advancing the development of highly efficient photocathodes in future energy applications.
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