Solution and Calculation of Wave Superposition Method

Meng, Zhaoran; Sun, Hui; Zhu, Guangming

doi:10.12733/jics20104998

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…To design the spatial layout of the metasurfaces, we apply a diffractive neural network. [ 46–49 ] The diffractive neural network is physically constructed by multiple layers of diffractive surfaces that work collaboratively to allow powerful wavefront shaping and information communication, which has been widely used in the optical logic operation, image identification, and other inference tasks. [ 46,48 ] According to the Huygens‐Fresnel principle, each unit cell/neuron can be regarded as a secondary source and connected to others of the following layer through the secondary wave.…”

Section: Resultsmentioning

confidence: 99%

Arbitrary Polarization Readout with Dual‐Channel Neuro‐Metasurfaces

et al. 2022

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Polarization, as a vector nature of the electromagnetic wave, plays a fundamental role in optics. Determining the polarization state of light is required by many applications, spanning from remote sensing and material analysis to biology and microscopy. To achieve this goal, conventional methods necessitate cascading of multiple optical components and consequential measurements to estimate the Stokes parameters, rendering the entire optical system bulky, complex, and sensitive. Here a brand-new strategy is introduced for direct polarization readout based on dual-channel neuro-metasurfaces. Neuro-metasurfaces can independently manipulate two orthogonal linearly-polarized waves that can synthesize arbitrary polarization waves with a linear combination. By judiciously designing the output focus points, a unique polarization atlas is created that allows one-to-one correspondence from intensity ratio to polarization state. To implement this, polarization-sensitive metasurfaces are designed and the spatial layout is optimized using a diffractive neural network. The feasibility of this strategy is validated by numerical simulation and microwave experiments. These results pave a new avenue in realizing integrated and multifunctional detectors and demonstrate the potential of neuro-metasurfaces as an add-on for discomposing and composing spatial basis.

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Section: Resultsmentioning

confidence: 99%

Arbitrary Polarization Readout with Dual‐Channel Neuro‐Metasurfaces

et al. 2022

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“…[ 32,33 ] Therefore, the memory SLM potentially can simulate the human brain for calculation purposes. [ 34–36 ]…”

Section: Discussionmentioning

confidence: 99%

Programmable Terahertz Metamaterials with Non‐Volatile Memory

Chen

et al. 2022

Laser & Photonics Reviews

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Spatial light modulators (SLMs) exhibited the powerful capability of controlling the electromagnetic wave. They have found numerous applications at terahertz (THz) frequencies, including wireless communication, digital holography, and compressive imaging. However, the development towards largescale, multi-level and multi-functional THz SLM encounters technical challenges. Here, we present an electrically programmable THz metamaterial consisting of an array of 8⊆8 pixels, in which the phase change material of vanadium dioxide (VO 2 ) is embedded. After successfully suppressing the crosstalk from adjacent pixels, the THz wave could be modulated in a programmable manner. The switching speed of each pixel was on the order of 1 kHz. In particular, utilising the hysteresis effect of VO 2 , the memory effect is demonstrated. The THz amplitude of each pixel can be written and erased by individual current pulses. Furthermore, multi-state THz images could be generated and stored, with a retention time of more than 5 hours. This programmable metamaterial with memory effect can be extended to other frequency bands and opens a route for electromagnetic information processing.

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“…[ 453 ] This route has become increasingly useful due to the high computational power that is now available and its ability to calculate band structures for a large number of geometries. While a majority of such inverse‐design based studies are for electromagnetic [ 442,454–456 ] and acoustic waves, [ 457–462 ] some recent works have begun employing ML for mechanical metamaterials and elastic wave BG characterization as well. In the context of mechanical metamaterials with exceptional static properties, ML‐based inverse design approaches hold great value, since they allow designers to take geometric and material property variation and uncertainty into account in their training data set.…”

Section: Bg Engineering Through Inverse Designmentioning

confidence: 99%

Tailoring Structure‐Borne Sound through Bandgap Engineering in Phononic Crystals and Metamaterials: A Comprehensive Review

Oudich

Gerard

Deng

et al. 2022

Adv Funct Materials

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In solid state physics, a bandgap (BG) refers to a range of energies where no electronic states can exist. This concept was extended to classical waves, spawning the entire fields of photonic and phononic crystals where BGs are frequency (or wavelength) intervals where wave propagation is prohibited. For elastic waves, BGs are found in periodically alternating mechanical properties (i.e., stiffness and density). This gives birth to phononic crystals and later elastic metamaterials that have enabled unprecedented functionalities for a wide range of applications. Planar metamaterials are built for vibration shielding, while a myriad of works focus on integrating phononic crystals in microsystems for filtering, waveguiding, and dynamical strain energy confinement in optomechanical systems. Furthermore, the past decade has witnessed the rise of topological insulators, which leads to the creation of elastodynamic analogs of topological insulators for robust manipulation of mechanical waves. Meanwhile, additive manufacturing has enabled the realization of 3D architected elastic metamaterials, which extends their functionalities. This review aims to comprehensively delineate the rich physical background and the state-of-the art in elastic metamaterials and phononic crystals that possess engineered BGs for different functionalities and applications, and to provide a roadmap for future directions of these manmade materials.

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Solution and Calculation of Wave Superposition Method

Cited by 4 publications

References 4 publications

Arbitrary Polarization Readout with Dual‐Channel Neuro‐Metasurfaces

Arbitrary Polarization Readout with Dual‐Channel Neuro‐Metasurfaces

Programmable Terahertz Metamaterials with Non‐Volatile Memory

Tailoring Structure‐Borne Sound through Bandgap Engineering in Phononic Crystals and Metamaterials: A Comprehensive Review

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