Inverse Design of Plasma Metamaterial Devices for Optical Computing

Rodríguez, Jesse A.; Abdalla, Ahmed I.; Wang, Benjamin; Lou, Beicheng; Fan, Shanhui; Cappelli, Mark A.

doi:10.1103/physrevapplied.16.014023

Cited by 34 publications

(49 citation statements)

References 27 publications

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“…Previous work with PMMs indicates that both the TM and TE responses are tunable, with the latter benefiting (and suffering, depending on the desired device functionality) from the presence of LSP modes [21,26], while the former makes more direct use of dispersive and refractive effects [21][22][23]. In our prior work [1], we see that for devices which seek to preserve an input signal like the waveguides and demultiplexers we present below, the TE polarization leads to poor performance, so we choose to focus on the TM mode alone in this study.…”

Section: Methodsmentioning

confidence: 84%

“…In addition, when the PMM is composed of elements that are small compared to the operating wavelength and the source is polarized properly, we can access localized surface plasmon (LSP) modes along the boundary between a positive permittivity background and a negative permittivity plasma element. Such surface modes can yield more complex and efficient device behavior [21], allowing for a particularly high degree of reconfigurability, but for devices which seek to maximize transmission, they can cause serious degradation of performance [1]. Prior experimental studies of plasma photonic crystals (PPCs) have already highlighted the richness of this geometry in waveguide [1,22] and bandgap [21,23,24] devices.…”

Section: Introductionmentioning

confidence: 99%

“…Such surface modes can yield more complex and efficient device behavior [21], allowing for a particularly high degree of reconfigurability, but for devices which seek to maximize transmission, they can cause serious degradation of performance [1]. Prior experimental studies of plasma photonic crystals (PPCs) have already highlighted the richness of this geometry in waveguide [1,22] and bandgap [21,23,24] devices. The rich and varied physics of PMMs is well-matched to inverse design methods which promise to allow more holistic and efficient exploration of the configuration space.…”

Section: Introductionmentioning

confidence: 99%

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mentioning

confidence: 99%

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Inverse design of plasma metamaterial devices with realistic elements

Rodriguez¹,

Cappelli²

2022

Preprint

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In an expansion of a previous study [1], we apply inverse design methods to produce twodimensional plasma metamaterial devices with realistic plasma elements which incorporate quartz envelopes, collisionality (loss), non-uniform density profiles, and resistance to experimental error/perturbation. Backpropagated finite difference frequency domain simulations are used to design waveguides and demultiplexers operating under the transverse magnetic polarization. Optimal devices with realistic elements are compared to previous devices with idealized elements, and several parameter initialization schemes for the optimization algorithm are explored. Demultiplexing and waveguiding are demonstrated for microwave-regime devices composed of plasma elements with reasonable space-averaged plasma frequencies ∼ 10 GHz and a collision frequency ∼ 1 GHz, allowing for future in-situ training and experimental realization of these designs.

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Section: Methodsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…

…”

mentioning

confidence: 99%

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Inverse design of plasma metamaterial devices with realistic elements

Rodriguez¹,

Cappelli²

2022

Preprint

Self Cite

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“…More specifically, a certain spatial design of the system structure can be used to spatially pattern the medium properties. Very recently, an inverse design method has been proposed, allowing to determine the plasma pattern on a 2D plasma metamaterial (composed of plasma rods) giving the desired optical behavior, such as multiplexing or waveguiding [15]. However, the difficulties of controlling spatial plasma patterns have been pointed out in [16] and the authors state that in 3D coordinates, "formation methods of plasmas in arbitrary shapes are challenging research targets".…”

mentioning

confidence: 99%

Space-Time Plasma-Steering Source: Control of Microwave Plasmas in Overmoded Cavities

et al. 2021

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Recently, Space-Time Plasma Steering Source has been proposed as an innovative microwave plasma source to meet the challenge of controlling plasmas in overmoded cavities. This concept has been successfully demonstrated experimentally, allowing the space time control of nanosecond microwave plasmas on initiators. This paper gives insights into the path that shall be taken to reach full space-time control of plasmas in overmoded cavities. To that end, a key criterion, namely the "Plasma Steering criterion", is introduced and verified with a numerical model. This criterion must be respected for an accurate space-time control of plasmas in overmoded cavities. The importance of the plasma density (depending on its value with respect to the critical plasma density) on the plasma control capabilities is also highlighted.

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Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials

Sarkar,

Ji,

Jermain

et al. 2023

Advanced Photonics Research

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Optical metamaterials manipulate light through various confinement and scattering processes, offering unique advantages like high performance, small form factor and easy integration with semiconductor devices. However, designing metasurfaces with suitable optical responses for complex metamaterial systems remains challenging due to the exponentially growing computation cost and the ill‐posed nature of inverse problems. To expedite the computation for the inverse design of metasurfaces, a physics‐informed deep learning (DL) framework is used. A tandem DL architecture with physics‐based learning is used to select designs that are scientifically consistent, have low error in design prediction, and accurate reconstruction of optical responses. The authors focus on the inverse design of a representative plasmonic device and consider the prediction of design for the optical response of a single wavelength incident or a spectrum of wavelength in the visible light range. The physics‐based constraint is derived from solving the electromagnetic wave equations for a simplified homogenized model. The model converges with an accuracy up to 97% for inverse design prediction with the optical response for the visible light spectrum as input, and up to 96% for optical response of single wavelength of light as input, with optical response reconstruction accuracy of 99%.

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Inverse Design of Plasma Metamaterial Devices for Optical Computing

Cited by 34 publications

References 27 publications

Inverse design of plasma metamaterial devices with realistic elements

Inverse design of plasma metamaterial devices with realistic elements

Space-Time Plasma-Steering Source: Control of Microwave Plasmas in Overmoded Cavities

Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials

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