Intelligent designs in nanophotonics: from optimization towards inverse creation

Wang, Ning; Yan, Wei; Qu, Yue; Ma, Siqi; Li, Stan Z.; Qiu, Min

doi:10.1186/s43074-021-00044-y

Cited by 60 publications

(37 citation statements)

References 171 publications

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“…For example, the performance of the ratio of average focal efficiency (η) to the root-mean-square deviation of the focal efficiencies (η rms ) of the multiple focal spots, i.e., FOM ¼ η=η rms . To speed up the optimization, intelligent algorithms would be the right hand [172][173][174] .…”

Section: Limitations Of Multifunctional Metalensesmentioning

confidence: 99%

Dielectric metalens for miniaturized imaging systems: progress and challenges

et al. 2022

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Lightweight, miniaturized optical imaging systems are vastly anticipated in these fields of aerospace exploration, industrial vision, consumer electronics, and medical imaging. However, conventional optical techniques are intricate to downscale as refractive lenses mostly rely on phase accumulation. Metalens, composed of subwavelength nanostructures that locally control light waves, offers a disruptive path for small-scale imaging systems. Recent advances in the design and nanofabrication of dielectric metalenses have led to some high-performance practical optical systems. This review outlines the exciting developments in the aforementioned area whilst highlighting the challenges of using dielectric metalenses to replace conventional optics in miniature optical systems. After a brief introduction to the fundamental physics of dielectric metalenses, the progress and challenges in terms of the typical performances are introduced. The supplementary discussion on the common challenges hindering further development is also presented, including the limitations of the conventional design methods, difficulties in scaling up, and device integration. Furthermore, the potential approaches to address the existing challenges are also deliberated.

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Section: Limitations Of Multifunctional Metalensesmentioning

confidence: 99%

Dielectric metalens for miniaturized imaging systems: progress and challenges

et al. 2022

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“…The inverse design consumed times of the RF and DNN algorithms are both less than 0.5 s, while it changes from 1.21 to 5.52 s for the DEDGO algorithm. Even though the DEDGO algorithm is a little inferior in this respect, it is still far faster than traditional iterative methods, which pre-configure a parameter combination, calculate the corresponding spectrum, and constantly adjust the parameters until the spectral error is less than the threshold, usually taking tens of minutes or even hours to design a sample [ 48 , 49 , 50 ]. Therefore, the DEDGO algorithm is confirmed to be an excellent method for the inverse design of TMDC-cavity heterojunctions.…”

Section: Resultsmentioning

confidence: 99%

Data-Enhanced Deep Greedy Optimization Algorithm for the On-Demand Inverse Design of TMDC-Cavity Heterojunctions

et al. 2022

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A data-enhanced deep greedy optimization (DEDGO) algorithm is proposed to achieve the efficient and on-demand inverse design of multiple transition metal dichalcogenides (TMDC)-photonic cavity-integrated heterojunctions operating in the strong coupling regime. Precisely, five types of photonic cavities with different geometrical parameters are employed to alter the optical properties of monolayer TMDC, aiming at discovering new and intriguing physics associated with the strong coupling effect. Notably, the traditional rigorous coupled wave analysis (RCWA) approach is utilized to generate a relatively small training dataset for the DEDGO algorithm. Importantly, one remarkable feature of DEDGO is the integration the decision theory of reinforcement learning, which remedies the deficiencies of previous research that focused more on modeling over decision making, increasing the success rate of inverse prediction. Specifically, an iterative optimization strategy, namely, deep greedy optimization, is implemented to improve the performance. In addition, a data enhancement method is also employed in DEDGO to address the dependence on a large amount of training data. The accuracy and effectiveness of the DEDGO algorithm are confirmed to be much higher than those of the random forest algorithm and deep neural network, making possible the replacement of the time-consuming conventional scanning optimization method with the DEDGO algorithm. This research thoroughly describes the universality, interpretability, and excellent performance of the DEDGO algorithm in exploring the underlying physics of TMDC-cavity heterojunctions, laying the foundations for the on-demand inverse design of low-dimensional material-based nano-devices.

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“…[ 14–16 ] Nonconformal optical elements with curved structures are essential components of nonconformal optical systems, [ 17–19 ] such as, curved surface imagers. [ 2,4,20–22 ] For example, inspired by the eyes of aquatic animals, Kim et al. developed a miniaturized wide‐field‐of‐view camera by integrating a monocentric lens and hemispherical silicon nanorod photodiode array.…”

Section: Introductionmentioning

confidence: 99%

Curved Photodetectors Based on Perovskite Microwire Arrays via In Situ Conformal Nanoimprinting

Xia

Sun

et al. 2022

Adv Funct Materials

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Micro/nano optoelectronic devices based on curved substrates play a significant role in the development of wearable devices, electronic skin, conformal sensors, conformal antennas, and soft robots. However, the current fabrication processes are oriented toward planar micro/nano devices, and the fabrication of such devices on curved substrates is challenging. Herein, a temperature‐gradient‐assisted nanoimprint‐based in situ micro/nano‐crystal growth method is proposed to fabricate high‐quality curved perovskite microwire crystal (MWC) arrays on curved surfaces. Based on this curved perovskite MWC array without bending‐induced defects, high‐performance curved photodetectors (responsivity = 414 A W−1, detectivity = 1.2 × 1014 Jones, and external quantum efficiency over 140 000%) with extraordinary stability (85% of original performance maintained for more than 2 years) are fabricated to realize a curved imaging device. These results provide insights into the application of high‐performance perovskite photodetectors in nonconformal optical systems.

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Intelligent designs in nanophotonics: from optimization towards inverse creation

Cited by 60 publications

References 171 publications

Dielectric metalens for miniaturized imaging systems: progress and challenges

Dielectric metalens for miniaturized imaging systems: progress and challenges

Data-Enhanced Deep Greedy Optimization Algorithm for the On-Demand Inverse Design of TMDC-Cavity Heterojunctions

Curved Photodetectors Based on Perovskite Microwire Arrays via In Situ Conformal Nanoimprinting

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