Optical logic operations lie at the heart of optical computing, and they enable many applications such as ultrahigh-speed information processing. However, reported gates rely heavily on precise control input light signals, including their phase difference, polarization, intensity size incident beams. Due to complexity difficulty in these controls, two output states may suffer from an inherent instability a low contrast ratio intensity. Moreover, miniaturization becomes difficult if extra...

Breakthroughs in the field of object recognition facilitate ubiquitous applications modern world, ranging from security and surveillance equipment to accessibility devices for visually impaired. Recently-emerged optical computing provides a fundamentally new modality accelerate its solution with photons; however, it still necessitates digital processing situ application, inextricably tied Moore's law. Here, an entirely perspective, we introduce concept neuro-metamaterials that can be applied...

Invisibility has been a topic of long-standing interest owing to the advent metamaterials and transformation optics, but still faces open challenges after its tremendous development in recent decades. One big is narrow bandwidth, as realization an invisibility cloak usually based on metamaterial-an artificial composite material composed subwavelength resonator structures that are always associated with dispersion. Different from previous works have tried eliminate dispersion enhance...

Recent breakthroughs in deep learning have ushered an essential tool for optics and photonics, recurring various applications of material design, system optimization, automation control. Deep learning-enabled on-demand metasurface design has been the subject extensive expansion, as it can alleviate time-consuming, low-efficiency, experience-orientated shortcomings conventional numerical simulations physics-based methods. However, collecting samples training neural networks are fundamentally...

The human eye, which relies on a flexible and controllable lens to focus light onto the retina, has inspired many scientific researchers understand better imitate biological vision system. However, real-time environmental adaptability presents an enormous challenge for artificial eye-like focusing systems. Inspired by mechanism of eye accommodation, we propose supervised-evolving learning algorithm design neuro-metasurface Driven on-site learning, system exhibits rapid response ever-changing...

Being invisible ad libitum has long captivated the popular imagination, particularly in terms of safeguarding modern high-end instruments from potential threats. Decades ago, advent metamaterials and transformation optics sparked considerable interest invisibility cloaks, which have been mainly demonstrated ground waveguide modalities. However, an omnidirectional flying cloak not achieved, primarily due to challenges associated with dynamic synthesis metasurface dispersion. We demonstrate...

Superscattering, induced by degenerate resonances, breaks the fundamental single-channel limit of scattering cross section subwavelength structures; in principle, an arbitrarily large total can be achieved via superscattering. It thus provides a unique way to strengthen light-matter interaction at scale, and has many potential applications sensing, energy harvesting, bioimaging (such as magnetic resonance imaging), communication, optoelectronics. However, experimental demonstration...

Being invisible at will has been a long-standing dream for centuries, epitomized by numerous legends; humans have never stopped their exploration steps to realize this dream. Recent years witnessed breakthrough in search due the advent of transformation optics, metamaterials, and metasurfaces. However, previous metasurface cloaks typically work reflection manner that relies on high-reflection background, thus limiting applications. Here, we propose an easy yet viable approach transmitted...

Chromatic aberration-free meta-devices (e.g., achromatic and abnormal chromatic meta-devices) play an essential role in modern science technology. However, current efforts suffer the issues of low efficiency, narrow operating band, limited wavefront manipulation capability. We propose a general strategy to design with high-efficiency ultrabroadband properties, which is realized by satisfying key criteria desirable phase dispersion high reflection amplitudes at target frequency interval. The...

Invisibility has been a long-standing topic, owing to its crucial importance in both academia and industry. At the close of last century, advent metamaterials unprecedentedly ignited enthusiasm toward pursuing invisibility cloaks, but despite two decades research, it yet mature into practical method. In this Perspective, we first present review conventional state-of-the-art methodologies, as well their intrinsic challenges. To take further step, focus on conjunction burgeoning...

Abstract Metasurfaces, interacted with artificial intelligence, have now been motivating many contemporary research studies to revisit established fields, e.g., direction of arrival (DOA) estimation. Conventional DOA estimation techniques typically necessitate bulky-sized beam-scanning equipment for signal acquisition or complicated reconstruction algorithms data postprocessing, making them ineffective in-situ detection. In this article, we propose a machine-learning-enabled metasurface For...

The physical basis of a smart city, the wireless channel, plays an important role in coordinating functions across variety systems and disordered environments, with numerous applications communication. However, conventional channel typically necessitates high-complexity energy-consuming hardware, it is hindered by lengthy iterative optimization strategies. Here, we introduce concept homeostatic neuro-metasurfaces to automatically monolithically manage dynamics. These relieve heavy reliance...

Abstract Optical illusion has always attracted extensive attention, as it provides a superior self‐protection ability for both natural animals and human beings. A decade ago, this motivated the study application of transformation optics, which universal tool to manipulate light invisibility cloaking optical illusion. However, mainstream transformation‐optics‐based illusions are inherently hindered by extreme requirements metamaterial compositions in practice unfavorably limited very large...

Abstract With the rapid growth in intelligent metasurfaces recent years, deep learning has attracted attention to transform ways which are simulated and designed. The unique advantages of lie powerful data‐driven modality, allows a computational model learn useful information using hierarchically structured layers. Among various successful examples, there forward inverse designs. However, such designs inherently data‐hungry. Thus, data utilization efficiency must be maximized, green...

Abstract The breakthroughs of transformation optics and metamaterials have kick‐started the study modern invisibility cloak since beginning this century. Many cloaking methodologies been progressively proposed for specific application scenarios, among which metasurface is largely welcomed owing to its salient features negligible thickness, easy fabrication, low loss. Similar other methodologies, however, suffers from inherent limits that impair it a convex shape, narrow bandwidth, small...

Inferring optical response from other correlated is highly demanded for vast applications such as biological imaging, material analysis, and characterization. This distinguished widely-studied forward inverse designs, it boiled down to another different category, namely, spectra-to-spectra design. Whereas designs have been substantially explored across various physical scenarios, the design remains elusive challenging involves intractable many-to-many correspondences. Here, we first dabble...

Abstract A crucial aspect in shielding a variety of advanced electronic devices from electromagnetic detection involves controlling the flow waves, akin to invisibility cloaks. Decades ago, exploration transformation optics heralded dawn modern cloaks, which has stimulated immense interest across various physical scenarios. However, most prior research is simplified low‐dimensional and stationary hidden objects, limiting their practical applicability dynamically changing world. This study...

As the cornerstone of AI generated content, data drives human-machine interaction and is essential for developing sophisticated deep learning agents. Nevertheless, associated storage poses a formidable challenge from conventional energy-intensive planar storage, high maintenance cost, susceptibility to electromagnetic interference. In this work, we introduce concept metasurface disk, meta-disk, expand capacity limits optical holographic by leveraging uncorrelated structural twist. We develop...

Superscattering, that is, a phenomenon of the scattering cross section from subwavelength object exceeding single-channel limit, has important prospects in enhanced sensing/spectroscopy, solar cells, and biomedical imaging. Superscattering can be typically constructed only at single frequency regime, depends critically on inescapable material losses. Under such realistic conditions, superscattering not been predicted nor observed to exist simultaneously multiple regimes. Here we introduce...

Abstract Frequency‐controlled metasurfaces have attracted significant attention for a variety of applications, such as radar imaging and 5G communication, owing to their small size low cost. However, due the inherent material dispersion these devices, bandwidth is an essential requirement controlling wavefront. To evaluate broadband performance frequency‐controlled metasurface focusing systems, multiresonant model used achieve controlled manipulation frequency‐splitting reflective...